Trial.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "6e3ca75a-b2b9-4a22-ab3c-abb92841e5d2",
   "metadata": {},
   "outputs": [],
   "source": [
    "import PyPDF2\n",
    "from PIL import Image\n",
    "import pytesseract as pts\n",
    "from googletrans import Translator\n",
    "import re\n",
    "import pandas as pd\n",
    "import time\n",
    "# import numpy\n",
    "# import cv2"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f881dba0-f876-480c-8494-68832ec89b64",
   "metadata": {},
   "source": [
    "## $\\text{Convert Each Page to an Image}$\n",
    "---"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "42909df5-d14a-4c14-baa3-6e72ac52a260",
   "metadata": {},
   "outputs": [],
   "source": [
    "def pdf_to_images(pdf_file, image_prefix):\n",
    "    pdf = PyPDF2.PdfReader(pdf_file)\n",
    "\n",
    "    for page_number in range(len(pdf.pages)):\n",
    "        page = pdf.pages[page_number]\n",
    "        image = page_to_image(page)\n",
    "        image.save(f\"{image_prefix}_{page_number + 1}.png\")\n",
    "\n",
    "def page_to_image(page):\n",
    "    xObject = page['/Resources']['/XObject'].get_object()\n",
    "    for obj in xObject:\n",
    "        if xObject[obj]['/Subtype'] == '/Image':\n",
    "            img = xObject[obj]\n",
    "            return Image.frombytes('RGB', [img['/Width'], img['/Height']], img.get_data())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "4a813592-bff8-4194-997d-8826b80856a1",
   "metadata": {},
   "outputs": [],
   "source": [
    "# pdf_file = 'Tamil Nadu.pdf'\n",
    "# image_prefix = 'page'\n",
    "# pdf_to_images(pdf_file, image_prefix)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "4e8dc2f3-f303-4429-953c-259ab9c89423",
   "metadata": {},
   "outputs": [],
   "source": [
    "im = Image.open('page_3.png')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "fe45b82c-c782-470a-9d60-5ea476a8ec29",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<PIL.PngImagePlugin.PngImageFile image mode=RGB size=1241x1753 at 0x27DCFDE0820>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "im"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e1fd0c5a-4a2c-47a5-a4c5-750f70ff1f7f",
   "metadata": {},
   "source": [
    "## $\\text{Extract Voters from pages}$\n",
    "---"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "e253c9c9-2a42-45ae-91a6-6f94cb184171",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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TVnhAEB6AHuzPGfe6khOunruBocztfSaQ9L9jEnwFZhvnxg/4onBpMOSMnN/Vcd/UJ3KzWpsHX6RMlmmQUY1e5TxrtjNqPDkMubivpKvEANwUYXTjRG7WPATtD5e9Y9JvcKJM+o74gl2u5T/D5/40mCxXW+LNvnlIKdqWhNjXD32KQ0lIeyrcVcf/jj1nm6+n5l3tD5dEy2TkNjnO7c+ZtzlWRGOq6IzIcrkpgoVPCPmceZsjmboFq7o7tR3i7ZtdbzMxwQ53dXiDcsCfwl/XujClHe5q3d/+uq7X3SLaz3Qb6LDD3a4t/i4XrrEv468zN02LNin9kg5ZrvUVMBkbEtLnCCdWJyiiKG22q342Bt8VYocLtygauxa6WeOj0Iy67M8Z2fxUJN+mt+3TAAC01H3zZYQ5Je17+w6nUv93XvnX6nwZ+p7o5NQb8ei9ie/bDQWHAsVGgRgnC3Tn8gDQB7+VgLYp7pjFypxeu0rGX+QfIq7gRUEWK86js1jZ4T/tC7Mq+YoI/AIBeFdM0d9BsMNddrAc69CmpK2SsRO5WY1+DADvyl1VhtBA+HROu1WEEBorgcQA8MYguzgAvwVxGc6j4zIAgD8JVAYAMCxQGQDAsEBlAADDApV5LuQ0XUOkSaSr1QdKwKhkGUPOeEAIVOapYJOHGBmZvM467yoZK6kVaZ6zG5/AoCIJBqLuz/sL7ocm+eqtkyEPRRl7+oqeSkJ7MXS13JO1Cb+VrsbYgKf348sEze1sTOt7+yV72qZAX+apOSsZ8sOh5hSlLnHsJUloz4JmaHy39Mw0ZSzLQ3UBr5FxDSrzPIgJzxi3y0w4HPnKYIBDCHmNM3g0+SoicdmmiJWc3/h/dMYmmuyxJv+TY/u5bsB5rtHKNZxSGckATzPEFtpDahq9oYHqm6e1JGj3u8Bmz0R7BI0HzVWNarRqEL5QbQO7x5Gqwb6h60lP5g1UzmCcVPojznNDdduNbxE0OSPjUNMdO6fpOMppds5ynFQGR4uXCWUx8m0aLELbnwZFtMqJnC2TpeWvki8es+O5t7sYN0ujw4INk/aqx6IYEczIzR0YTzmltO4ideuUclPoeFEYv9+wB9hmFK3L2cZpUheKo9I2Y9+tETLb0D95L1/xcSnjPQ/y2uFOcw1wNBHW5lcRfieecEc/rGD+nnVNc6E+4z3Z8ehpznI5alMSuZEjNWIbeXiBIYQITxBH/O+4EZdWZrj3h2JmYuofGjdrvQK6o1iafn/NU1eSW45xSY/KsItRvFRbp5TXQHzK2p8zT45wUNW/+yXZBDHa49rhTrRTMEcy8rkTEcX/l6ZEDgLzw02FJVcnhP6gp5Mu3xmdzTHJt6kXxy5LHEJtfDL3Dcxuqp9NQVKWf7cgjcyEi2B/rESDIaHn1mdPdM5mulFsUwVaixuPcU0qk68ibiMlIjil3JUTlnJ6/HV7qao5POnNPlA/pgfRn0tE+F2dkaeRmSpZpl43/EFNy9dXP3/a56eBky3vjKT8ib8d3+uiPFWyTINFGDLHrnybevG373/HhA4xXpd8FRXC658yZqE5f+pufnIuMuJISJ+ykpCzN9Pl7m4rYS79WgwqUx33RHYm4dfMraJ5VTKm2j1hKs6c9nQXtSgYlx/H6rh5m1R0cBrXFtauunO1P1z9jt7s0yaSBwzvrrFkxpdzyjHjZMvbHy4XxSYfomH0fw5NjIJHYOY54Y3GzG2q457aUJyRMPrJafSS/9/+nLFHjD91o0kkWiU2p9q4FhrRb9aOQbpWKtJ7B/rcuunj92ynlOuuGSOS5spxmRsHC1ggJiMTITit/Lh3ZX9MWLtq+/z8JupSJuMmAsPiTAKPepUjmIKWh6uMVFXyeRM60jji0HuoeRQr/ahXQ2OdZIcLFgP2pwEhTGSaNwOWZVnOYVHGnj5yYdzMi2MyYSOiTqBA9JmckJuHEQxZrKgTST7ac6eUz5kXHX7nlCLSU4r/HXvO5qcKf2viUCVj57Co26CW99U4pOTb1JuVD4kROiOv2GyYA40/DSbbknxI1f7ZFN6s0zb+NJhsty57tjVeMd/sNrvNz3Id/jrbWs784yyjjhM4Iy/dboPm3rM/XLI5VlMqLj457ok7tW3SWN8Q6n3z+6M+CK1Vib9mc9vav7ob+83fzPbEFv7obubvdoSQMFR/oNY15WyjlWsw9WXs8N9ss9wQ/gb/Z0Ov4v73lvyV5Sn7bH8aFELYMV9FbUzS/nBv8lyW55/kq4gFZno6C4Njh/9iUjAHmnybeiNHspExjuX873ifpk10kJ0OG65ca2BD+9X9BuZn4K/LeD+xrC3hbweaWMqlVbLDRZCmqdA+s0+b9ZaEkVO6TCruOAqenLpnhUGZBYo1idYNJRBfohJCCPHizBhB0keZpHnO7F2s8HrypIuKAaHCQfdd7zX0GYOzUoWFAdrJ3e2Z83q0xUpVU3fXbNZ8ZLCOOe1jfmJe+yWNJcUNhQY45aWjO2vtWbZbKf83zqG/C7Sujzr6U6FtimfMyMktVYg05AHgSbGQkZOhbYp7Zxen5PPeV/6EEFI4VkQIIScfxQCA5+Yh65iq497YvVUX8aIjA8CL8xCVscNFkE6607byufY1GwDglXnQmmx/Xdd1OVrKy9zoVBD0XgB4K54x+gvAa4HoL0fbFMgvAwAYFqgMAGBYoDIAgGGBygAAhgUqAwAYFqgMAGBYoDIAgGGBygAAhgUqAwAYFqgMAGBYoDIAgGGBygAAhgUqAwAYFqgMAGBYoDIAgGGBygAAhgUqAwAYFqgMAGBYoDIAgGGBygAAhgUqAwAYFqgMAGBYoDIAgGGBygAAhgUqAwAYFqgMAGBYoDIAgGH579EVAOBNoBbRoAv6MgCAYUFfBoDfUtf1o6vw1KAvAwAYFqgMAGBg0NkDAAyKBZUBAAzK/wG7oXawVI0A+QAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=375x150 at 0x27DCFE7AFA0>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "box1 = (50, 100, 425, 250)\n",
    "im.crop(box1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "a499f706-bfcd-4637-92f2-622077b6f71e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=375x150 at 0x27DCFDE0EB0>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "box2 = (425, 100, 800, 250)\n",
    "im.crop(box2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "f17b9899-5cf3-43df-9065-a4f06ca9e3b5",
   "metadata": {},
   "outputs": [],
   "source": [
    "box3 = (50, 250, 425, 400)\n",
    "voter3 = im.crop(box3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "3926510e-dede-427d-ade1-0c69550c19bf",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=375x150 at 0x27DCFE830D0>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "voter3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "26ea4327-5067-43aa-be62-7d82763574cf",
   "metadata": {},
   "outputs": [],
   "source": [
    "pts.pytesseract.tesseract_cmd = r\"C:\\Program Files\\Tesseract-OCR\\tesseract.exe\""
   ]
  },
  {
   "cell_type": "markdown",
   "id": "84719c15-e803-42dd-83d8-0c3d4f10db6c",
   "metadata": {},
   "source": [
    "## $\\text{Extract Info}$\n",
    "---"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "d896a3a6-d348-41ce-8857-a73b7c7c268c",
   "metadata": {},
   "outputs": [],
   "source": [
    "text = (pts.image_to_string(im.crop(box2), lang = 'tam'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "5a182328-9695-4cac-a306-6cfa8f9bd3b9",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2 2012441459\n",
      "Name: Jyoti\n",
      "\n",
      "Husband Name: Siva\n",
      "Home Number: -\n",
      "Age: 3 Gender: Female\n"
     ]
    }
   ],
   "source": [
    "translator = Translator()\n",
    "ttx = translator.translate(text, src = 'auto', dest='en')\n",
    "print(ttx.text)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "948a2901-ad0a-4578-9a54-31cb02caed6d",
   "metadata": {},
   "source": [
    "$\\text{The transaltion above works fine but the numbers aren't interpreted well. Split the image to handle numbers explicitly into 3 parts - voter_id, voter_info, voter_age}$"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "946b5dec-675e-4e08-a2c9-4f3e8bb1d888",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=375x150 at 0x27DCFE830D0>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "voter3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "cd17c9dd-e5fa-499a-96af-6c84b1d6f0de",
   "metadata": {},
   "outputs": [],
   "source": [
    "box_id = (0,0,370,25)\n",
    "voter3_id = voter3.crop(box_id)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "e899a09e-7931-43e2-a0cb-6c37721120ba",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=370x25 at 0x27DCFEDB940>"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "voter3_id"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "d4d4648e-6b3b-4c45-ad53-3adf6db8ef37",
   "metadata": {},
   "outputs": [],
   "source": [
    "id3 = pts.image_to_string(voter3_id)[:-1] #-1 to skip the escape sequence"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "5c1af551-b264-4c91-af0e-a561260e6299",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=250x95 at 0x27DCFEDB430>"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "box_info = (0,25,250,120)\n",
    "voter3_info = voter3.crop(box_info)\n",
    "voter3_info"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "b4df2171-3f85-4b87-8c93-64806a7ee085",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Name: Anusha -\n",
      "\n",
      "Husband Name: Nagesh 7\n",
      "Home Number: -\n",
      "\n",
      "Age: 3 Gender: Female\n"
     ]
    }
   ],
   "source": [
    "text = (pts.image_to_string(voter3_info, lang = 'tam'))\n",
    "translator = Translator()\n",
    "ttx = translator.translate(text, src = 'ta', dest='en')\n",
    "print(ttx.text)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "12173b22-1e23-447e-bb0e-621eacd9c9b6",
   "metadata": {},
   "source": [
    "## $\\text{Refining Extacted Info}$\n",
    "---"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "a0ba5037-b23c-4a27-b393-0091468b902a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Name: Anusha -\n",
      "Husband Name: Nagesh 7\n",
      "Home Number: -\n",
      "Age: 3\n",
      "Gender: Female\n"
     ]
    }
   ],
   "source": [
    "ttx.text = ttx.text.replace('\\n\\n','\\n')\n",
    "ttx.text = ttx.text.replace(' Gender:', '\\nGender:')\n",
    "print(ttx.text)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "d53fa9b9-c6d0-436b-9a50-66e06003dff4",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'VoterId': 'AYR0320549', 'Name': 'Anusha -', 'Husband Name': 'Nagesh 7', 'Home Number': '-', 'Age': '3', 'Gender': 'Female'}\n"
     ]
    }
   ],
   "source": [
    "data = {}\n",
    "data['VoterId'] = id3\n",
    "lines = ttx.text.strip().split('\\n')\n",
    "for line in lines:\n",
    "    key, value = line.split(': ')\n",
    "    data[key] = value\n",
    "\n",
    "print(data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "35bf73d9-26cf-4f5e-aaa2-06754c3909b2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=100x30 at 0x27DCFE923A0>"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "box_age = (0,95,100,125)\n",
    "voter3_age = voter3.crop(box_age)\n",
    "voter3_age"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "76fdcfa5-b8a3-4f7a-a1f4-7d8748cb637b",
   "metadata": {},
   "outputs": [],
   "source": [
    "voter3_age = pts.image_to_string(voter3_age)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "f8a62f3b-146f-41e5-a425-bfe51bf3be93",
   "metadata": {},
   "outputs": [],
   "source": [
    "age = int(re.findall(r'\\d+', voter3_age)[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "080a6292-ff44-4595-b737-bcdf7faa38e9",
   "metadata": {},
   "outputs": [],
   "source": [
    "data['Age'] = age"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "e2cd8a94-6c16-4918-9ddc-22f057bc10b9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'VoterId': 'AYR0320549',\n",
       " 'Name': 'Anusha -',\n",
       " 'Husband Name': 'Nagesh 7',\n",
       " 'Home Number': '-',\n",
       " 'Age': 34,\n",
       " 'Gender': 'Female'}"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "35e244af-9d6b-4b43-8a3a-a09bace3fd5c",
   "metadata": {},
   "outputs": [],
   "source": [
    "data['Name'] = data['Name'].replace('-','') #remove hyphen in name\n",
    "data['Name'] = ''.join(filter(lambda x: not x.isdigit(), data['Name'])).strip()\n",
    "data['Husband Name'] = ''.join(filter(lambda x: not x.isdigit(), data['Husband Name'])).strip() #remove numbers present (if any) from name"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "56bd64e5-dc3c-45de-b234-798ae846e2b4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'VoterId': 'AYR0320549',\n",
       " 'Name': 'Anusha',\n",
       " 'Husband Name': 'Nagesh',\n",
       " 'Home Number': '-',\n",
       " 'Age': 34,\n",
       " 'Gender': 'Female'}"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bc98d0c8-f69e-4660-8583-fa1e46dbe762",
   "metadata": {},
   "source": [
    "## $\\text{Process a whole page}$\n",
    "---"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f9c3e734-ac29-496a-be83-59fb66772b23",
   "metadata": {},
   "source": [
    "### $\\text{For page 3-10}$"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "5c7ba348-8e1d-484f-aec5-93e89fe1335b",
   "metadata": {},
   "outputs": [],
   "source": [
    "img3 = Image.open('page_3.png')\n",
    "bounding_box = (50, 100, 1185, 1595)\n",
    "img3 = img3.crop(bounding_box)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "37edcd9a-261e-4e61-be5d-7dac533aa5ac",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=1135x1495 at 0x27DCFEDB5E0>"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "img3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "6067e87b-9b78-4ae4-b529-a8dd556cc4f3",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Image 1\n",
    "# box1 = (0, 0, 375, 150)\n",
    "# img3.crop(box1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "c9686753-7382-4e66-8883-6dff4cae86c7",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Image 2\n",
    "# box2 = (375,0,750,150)\n",
    "# img3.crop(box2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "419a07a7-9ddb-48de-ad97-0c1250a8d2e1",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Image 3\n",
    "# box3 = (750,0,1125,150)\n",
    "# img3.crop(box3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "b0f4e5af-7b64-452b-8c79-84a030a501b7",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Image 4\n",
    "# box4 = (0,150,375,300)\n",
    "# img3.crop(box4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "f0c7cb25-2d11-49de-bd11-b83d43581317",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Image 5\n",
    "# box5 = (375,150,750,300)\n",
    "# img3.crop(box5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "362ce697-1d1b-48b7-b9ed-506b9a2115ed",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Image 6\n",
    "# box6 = (750,150,1125,300)\n",
    "# img3.crop(box6)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "908188a3-485c-4c93-be06-4be992ba35a1",
   "metadata": {},
   "outputs": [],
   "source": [
    "id_box = (250,0,375,25)\n",
    "info_box = (0,25,250,120)\n",
    "age_box = (0,95,100,125)\n",
    "home_box = (0,45,150,98)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "2d1762a2-d27e-48e3-8d2e-da1ab6e83a6c",
   "metadata": {},
   "outputs": [],
   "source": [
    "imgs = []\n",
    "for row in range(10):\n",
    "    for col in range(3):\n",
    "        box = (375*col, 150*row, 375*(col+1), 150*(row+1))\n",
    "        imgs.append(img3.crop(box))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "6d991061-56f1-45b0-92d9-7af80a126685",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "30"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(imgs)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "18b9f344-2051-4da3-b445-dc7133d66022",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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0opxH+2UAAG8GrAwAYFxgZQAA4wIrAwAYF1iZZ6QcpmuMMIlst/pIARgrUcYQM/7dgZV5OvjiIU5Ai9fZ551480poRRbnbOACjGokweBI9x2AxyEJvjp0MOSxiF1DntGuILRXw3bLPVmd/L0RNVZg9335NsHmem4M6zv8lr1KVaAv8wL0Cob8cJg4RSwLHHtNENpesAiNUwvPzELG8jhUV/DsEddgZZ4NMeAZZ7jIhOMR/jQI4BDRa5Tg0YQ/DrlxESK2pPyW/yETNpFEj23SP7kUx2UDzr5CK9fRz8qUBPAkQ2yhPkpVIxc0qOrmSSUJivuukNlroniCkJ2uQrXSKNUgnKjKBtb/eaWS8zNsP2ln3MBKpc29RP7EddiQ3eLiIZwmPSIOZd2xPlWXUylmrZRzL2lQtHgZVxYnPPjWxlbNpRU5PyGVo2XysPyJ95X77PLY23UaL/Od84YPk05VjUXRIxjQgAqM/ZRSCnWRtFBKGRQ2XhTG7wP2AIuIomm82vPmGx58YZA6VodTiGzDfua9/IqOS+yecievah8l70COxMOa/VeE/1MecEc+rOD6nmnKYqE+Y5usafRkpdzOipBEuqOVKrHwPDz1EKJOHiCOzG83My6Fmcm1PypiJk39w8bLCq2A+iiWhd/f5aErabAxboeV4S+j+KoWSimvgfiVVT9XWdDfPAzwY8icGEVTUO2jKKfQ7MkI15pDFf1fFhLZspo/blV4cHUi9g/tDrp8Z2QyxxQefMN1dR44hMn4BPoExG6S331EPo+/G1FmZuyNdbokosCQ0HNrkyfqc5lsFJtlgeVisDFuu5UJf5xcRkpEUEq5Kx2ScnLMXfGqFjE843OUq23dv32J+lwiwv9VmxkSM5N4W9+ouz+YaPnu5u9P8f1soLPmtVkpfuJfx/cyL0/ibX1rY9tcsSs8+Ib7bZrfLrEhxusS/jiR0LOOXe6aM5f6/jfMjYw4EpKHrCTqfZksdneRiebUr6fVyiSXE5WVSfJ3ZihvXuLNme1ecCvO277spRYNxvXPUQQ17+RyKkYzzYOTschUW3i9yh6vfujyG43Vp0olDZi8u8aDGV9Pl2JGZ82rH3puFLN4iH+o3MxHkXtg1iHllcbFbZLLiclQ9AgY/eRk9jL/W/1c8U+MudSdhSNKJWZFzVQLG5FfVoxB6lIqpXkH9t0aaBLvSqWUgRtkyeaW/TIDOwtU+8idWlxTgg8DB59m7cfp4vF6lfb580ZUJ/bmmQdG8DNxHjWVI4iCxuebhFSrhOvMdSRRxGFtKPsUV/pRr4ZEOkm1N9wHbC4tIm5kspkBRVEU7byJXUPuuWi8zHBdWvARUU0XRdSZXNCAqimtUayYEkk4O+VKKZ8rwzn/TSlFpCUV89s1tP1vYv9VxCHx5tp5kxZOLePrkiSXL+Hg/dFmRrTfcwUac2ktDjF9iFckv/vIWNXqxlxai8NB59+2TCvmmzezYf4tt2HugoOirT96CXV0oM0M/3Cwsranfui0vyRLZlxMupxIX6oqZdI3xLRv/v7UByGVKjF3fG1b8at+sZn95rInqvCjfpl5PBKRbVf/QYVqSm+hleto78uo9r/VfrunfAb/d8/e4vZ5y3zKsks+21xakeB2DH+cwiepfuiDfJfL60/CHyfSP9QbVPgGRbX/uRRxBZrw4BszrSQj0+QRI/PbPfl+5h3Mi5MNV24VsGH96nYB8x6Yu9g9LRTlQPnsQOZLuTZLqr2xfN8X6mf1qfLekjBy8rdekiuOgqeFDVXE31XiwKpIk0jVUCxxEpWIiAw3aPQgyb1MpXXOfC5WmJ7sVFFpQMhwPZs3JdkmDM7TEzYGSBd3FyXPc1AkW8pU9XbJZdmhBumYbh3zjnXt19R8yW8oVECXlo6s1NJSFldV/m5cQ38XWF4f9fSnolIVzxuRM5dUodKQB4An5Qkb0aOoVMVjooszwnXrlD8RUaQpDhFR56cYAPCsPHAfkzCZXKO6iRcdGQBelgdaGdXeWP6ivmwrXEun2QAAr8lD92SbuzRN49m2vM2NLQVB7wWAifC83l8AXgs0ohwFekwAgHsCKwMAGBdYGQDAuMDKAADGBVYGADAusDIAgHGBlQEAjAusDABgXGBlAADjAisDABgXWBkAwLjAygAAxgVWBgAwLrAyAIBxgZUBAIwLrAwAYFxgZQAA4wIrAwAYF1gZAMC4wMoAAMYFVgYAMC6wMgCAcYGVAQCMC6wMAGBcYGUAAOMCKwMAGBdYGQDAuPz36AwAMCmYRDQQQV8GADAu6MsAMAxpmj46C08K+jIAgHGBlQEAAADAK6NgMAkAGJX/AzHZlzCJtUdMAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=375x150 at 0x27DCFEF9DC0>"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "imgs[1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "3c9600bd-e1f5-49b4-a92d-3a75f9820993",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=375x150 at 0x27DCFEEBD90>"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "imgs[6]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "f870b4d3-e3f1-4f11-a496-78834dbc0a44",
   "metadata": {},
   "outputs": [],
   "source": [
    "# def fast_translate(img):\n",
    "#     text = pts.image_to_string(img, lang = 'tam')\n",
    "#     translator = Translator()\n",
    "#     translated_text = translator.translate(text, src = 'ta', dest='en')\n",
    "#     return print(translated_text.text)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "c328fa9d-9b6b-4c80-94fa-5c395acf97e0",
   "metadata": {},
   "outputs": [],
   "source": [
    "tx = translator.translate(pts.image_to_string(imgs[5], lang = 'tam'), src = 'ta', dest = 'en')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "5540d358-9eed-4338-b8a3-5d4b2de5ed45",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "P 8177: 0320358\n",
      "Name: Vishnukumar -\n",
      "\n",
      "Dasaratha 7\n",
      "Home Number: -\n",
      "Age: 31 Gender: Male Volla\n"
     ]
    }
   ],
   "source": [
    "print(tx.text)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "012ad1c4-2f65-4f5c-ad66-0d5b9d5b206f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Name: Vishnukumar -\\nDasaratha 7\\nHome Number: -\\nAge: 31\\nGender: Male Volla'"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tx.text = tx.text.replace('\\n\\n','\\n').replace(' Gender:', '\\nGender:')\n",
    "tx.text = re.sub(r'^[\\s\\S]*?Name:', 'Name:', tx.text, flags=re.MULTILINE)\n",
    "tx.text"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "ed46268f-15d8-4e05-8033-0cd20a29192c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Name: Vishnukumar -',\n",
       " 'Dasaratha 7',\n",
       " 'Home Number: -',\n",
       " 'Age: 31',\n",
       " 'Gender: Male Volla']"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "k = tx.text.split('\\n')\n",
    "k"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "6ee1e725-b71e-4769-bdda-1346b5d2ee07",
   "metadata": {},
   "outputs": [],
   "source": [
    "def extract_voter_id(image):\n",
    "    id_box = (250,0,375,25)\n",
    "    id_img = image.crop(id_box)\n",
    "    voter_id = pts.image_to_string(id_img)[:-1]\n",
    "    return voter_id"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "3c24831c-b4ae-4507-a444-d0a63b796f8f",
   "metadata": {},
   "outputs": [],
   "source": [
    "translator = Translator()\n",
    "def extract_voter_info(image, data):\n",
    "    info_box = (0,25,250,120)\n",
    "    info_img = image.crop(info_box)\n",
    "    text = pts.image_to_string(info_img, lang = 'tam')\n",
    "    tx = translator.translate(text, src = 'ta', dest='en')\n",
    "    tx.text = tx.text.replace(' Gender:', '\\nGender:').replace('\\n\\n','\\n')\n",
    "    lines = tx.text.strip().split('\\n')\n",
    "    for line in lines:\n",
    "        key, value = line.split(': ')\n",
    "        data[key] = value\n",
    "    data['Name'] = data['Name'].replace('-','') #remove hyphen in name\n",
    "    data['Name'] = ''.join(filter(lambda x: not x.isdigit(), data['Name'])).strip()\n",
    "    if 'Husband Name' in data:\n",
    "        data['Husband Name'] = ''.join(filter(lambda x: not x.isdigit(), data['Husband Name'])).strip()\n",
    "    # Handle the case where 'Husband Name' is not present in the dictionary\n",
    "    return data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "08be17dc-d3d5-44bd-88db-a0a5bb694469",
   "metadata": {},
   "outputs": [],
   "source": [
    "def extract_voter_age(image):\n",
    "    age_box = (0,95,100,125)\n",
    "    age_img = image.crop(age_box)\n",
    "    # voter_age = pts.image_to_string(age_img)\n",
    "    voter_age = int(re.findall(r'\\d+', pts.image_to_string(age_img))[0])\n",
    "    return str(voter_age)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "e2b33488-4408-4f11-88bf-bf4ec9e81b80",
   "metadata": {},
   "outputs": [],
   "source": [
    "def extract_voter_home(image):\n",
    "    home_box = (0,45,150,98)\n",
    "    home_img = image.crop(home_box)\n",
    "    text = pts.image_to_string(home_img, lang = 'tam')\n",
    "    tx = translator.translate(text, src = 'ta', dest = 'en')\n",
    "    voter_home = re.findall(r'\\b\\d{2,}\\b', tx.text)\n",
    "    \n",
    "    return voter_home[0] if voter_home else '-'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "a7b0e8ed-0e9c-42bc-95b1-131aeb053b0e",
   "metadata": {},
   "outputs": [],
   "source": [
    "def image_to_info(image):\n",
    "    data = {}\n",
    "    data = extract_voter_info(image, data)\n",
    "    data['Voter ID'] = extract_voter_id(image)\n",
    "    data['Age'] = extract_voter_age(image)\n",
    "    data['Home Number'] = extract_voter_home(image)\n",
    "    return data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "7cccb41b-c429-40d2-abc0-ec4d020f88c0",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.DataFrame()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "id": "b9cd6506-7a28-4f8a-bdbc-6914bd160326",
   "metadata": {},
   "outputs": [],
   "source": [
    "import warnings\n",
    "warnings.filterwarnings(\"ignore\", category=FutureWarning)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "id": "a67b9c6e-dc8e-405c-ac54-9b3d576cc2f7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=375x150 at 0x27DCFEEBD60>"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "imgs[5]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ae582557-32ba-49be-a3e5-1a48e434cb42",
   "metadata": {},
   "source": [
    "---"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "id": "8f13ec03-9f44-4bc6-a45b-b65e36238f6c",
   "metadata": {},
   "outputs": [],
   "source": [
    "# error in trnaslation\n",
    "# extract_voter_info(imgs[14],{})"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6c88ad7c-9df0-4afd-8e08-cf67b0119258",
   "metadata": {},
   "source": [
    "---"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "id": "6b7d5909-e5d9-4c63-a9cf-70603bf0ff92",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=375x150 at 0x27DCFEF99D0>"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "imgs[13]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "id": "037914d8-adff-4ea7-8693-d4c585b4c995",
   "metadata": {},
   "outputs": [],
   "source": [
    "info_img_ok = imgs[13].crop(info_box)\n",
    "text_ok = pts.image_to_string(info_img_ok, lang = 'tam')\n",
    "tx_ok = translator.translate(text_ok, src = 'ta', dest='en')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "id": "d4a47c93-1e37-4ad4-9063-cb2413ce2ea3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'பெயர்\\u200c: ஸீஜய.வீ\\nதந்த பெயர்\\u200c: வேலு\\nவீட்டு எண்\\u200c: -\\n\\nவயது: 19 பாலினம்\\u200c : ஆண்\\u200c\\n'"
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "text_ok"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "id": "1aa7f792-88a5-474d-90e6-aea2a87acb7a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Name: Zejaya\\nName: Velu\\nHome Number: -\\n\\nAge: 19 Gender: Male'"
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tx_ok.text"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "id": "5fea36b7-8df7-4286-8226-acbc449636bb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=375x150 at 0x27DCFEF9970>"
      ]
     },
     "execution_count": 59,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "imgs[14]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "id": "b1bf805e-da3a-4163-80f1-7ad799a425ad",
   "metadata": {},
   "outputs": [],
   "source": [
    "info_img = imgs[14].crop(info_box)\n",
    "text = pts.image_to_string(info_img, lang = 'tam')\n",
    "tx = translator.translate(text, src = 'ta', dest='en')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "id": "fcf3734b-862f-4549-a579-7979c41b0f72",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'பெயர்\\u200c: விககி.மு\\nதந்\\u200cைத பெயர்\\u200c: மூநுஸாமீ.ஆ\\nவீட்டு எண்\\u200c: -\\n\\nவயது: 19 பாலினம்\\u200c : ஆண்\\u200c\\n'"
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "text"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "id": "2d8c40eb-0586-4484-98b6-d7a5ce216b15",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Name:\\nName:\\nHome Number: -\\n\\nAge: 19 Gender: Male'"
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tx.text"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "id": "3a4a6752-f3e8-4e7f-925c-0ca4e775a581",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=375x150 at 0x27DCFEF9100>"
      ]
     },
     "execution_count": 63,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "imgs[15]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "id": "6b0fded4-5e92-467a-a1da-487a91c19df7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Name:\\nName:\\nHome Number: -\\n\\nAge: 19 Gender: Male'"
      ]
     },
     "execution_count": 64,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "info_img = imgs[14].crop(info_box)\n",
    "text = pts.image_to_string(info_img, lang = 'tam')\n",
    "tx = translator.translate(text, src = 'ta', dest='en')\n",
    "tx.text"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "id": "a197ee25-7288-4011-9a58-6c6652c76d32",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'பெயர்\\u200c: விககி.மு\\nதந்\\u200cைத பெயர்\\u200c: மூநுஸாமீ.ஆ\\nவீட்டு எண்\\u200c: -\\n\\nவயது: 19 பாலினம்\\u200c : ஆண்\\u200c\\n'"
      ]
     },
     "execution_count": 65,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "text"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ee0836dc-585c-4672-9f6b-db5ecf2fa875",
   "metadata": {},
   "source": [
    "- Remove `\\u200c`\n",
    "- Split in lines\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c5d1005b-c579-47fd-8dde-7538fbfd19d4",
   "metadata": {},
   "source": [
    "Test for `imgs[15]`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "id": "5f0fb40a-85ef-4060-bd60-aebbaedb4a98",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'பெயர் : விககி.மு\\nதந் ைத பெயர் : மூநுஸாமீ.ஆ\\nவீட்டு எண் : -\\n\\nவயது: 19 பாலினம்  : ஆண் \\n'"
      ]
     },
     "execution_count": 66,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# for imgs[15]\n",
    "tx_pre = re.sub(r'\\u200c', ' ', text)\n",
    "tx_pre"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "id": "2ea35b7b-7c06-40a3-856b-14345ba65bbf",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['பெயர் : விககி.மு',\n",
       " 'தந் ைத பெயர் : மூநுஸாமீ.ஆ',\n",
       " 'வீட்டு எண் : -',\n",
       " '',\n",
       " 'வயது: 19 பாலினம்  : ஆண் ',\n",
       " '']"
      ]
     },
     "execution_count": 67,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lst_tam = tx_pre.split('\\n')\n",
    "lst_tam"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "id": "c2cbfc08-052b-4384-91ed-6cf22d3a8333",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['பெயர் : விககி.மு',\n",
       " 'தந் ைத பெயர் : மூநுஸாமீ.ஆ',\n",
       " 'வீட்டு எண் : -',\n",
       " 'வயது: 19 பாலினம்  : ஆண் ']"
      ]
     },
     "execution_count": 68,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lst_tam = list(filter(None, lst_tam))\n",
    "lst_tam"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "id": "e01746b4-a7dc-4085-b3b7-ab4947236e6c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=375x150 at 0x27DCFEF9970>"
      ]
     },
     "execution_count": 69,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "imgs[14]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "id": "9af080de-9959-41a3-bbfb-bcdb01558893",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'பெயர் : விககி.மு'"
      ]
     },
     "execution_count": 70,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lst_tam[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "id": "6c8c2458-a344-40f1-9407-09e9d68f9c34",
   "metadata": {},
   "outputs": [],
   "source": [
    "parts_name = lst_tam[0].split(':')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "id": "a3cb692c-6ed7-4be3-8229-29f63b03aeb1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['பெயர் ', ' விககி.மு']"
      ]
     },
     "execution_count": 72,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "parts_name"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "id": "fb29e735-2b0f-4802-b15c-e79c9ff46334",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Mitigate.'"
      ]
     },
     "execution_count": 73,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "translator.translate(parts_name[1], src = 'ta', dest='en').text"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "id": "b42bf431-aefb-48f3-9c72-377dace396f9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Name:', 'Name of his', 'Home Number: -', 'Age: 19 Gender: Male']"
      ]
     },
     "execution_count": 74,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lst_eng = []\n",
    "for item in lst_tam:\n",
    "    lst_eng.append(translator.translate(item, src = 'ta', dest='en').text)\n",
    "lst_eng"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "id": "6b5cde83-1da6-470e-9601-c8a5bbc141f1",
   "metadata": {},
   "outputs": [],
   "source": [
    "father_name = 'தந் ைத பெயர்'\n",
    "string = lst_tam[1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "id": "f92eb1bc-2108-4898-bb94-9949a9b5453c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'தந் ைத பெயர் : மூநுஸாமீ.ஆ'"
      ]
     },
     "execution_count": 76,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "string"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "id": "4680c738-a6a4-48af-83ef-62e815bc3ff1",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "True\n"
     ]
    }
   ],
   "source": [
    "if father_name in lst_tam[1]:\n",
    "    print(True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "id": "5a30e56a-4921-4847-bce6-c31d681e168f",
   "metadata": {},
   "outputs": [],
   "source": [
    "lst_eng[1] = lst_eng[1].replace('Name of his', 'Name of the father')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "id": "c182c3a2-75f6-4a47-b503-dc69c3cfb898",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Name:', 'Name of the father', 'Home Number: -', 'Age: 19 Gender: Male']"
      ]
     },
     "execution_count": 79,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lst_eng"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "id": "11d0dd6f-cb68-4d98-81f8-203bdfe53b8b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Name:', 'Name of the father', 'Home Number: -', 'Age: 19 Gender: Male']"
      ]
     },
     "execution_count": 80,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lst_eng"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "id": "70e0a2b1-2230-4536-b4c2-276f9b8e3cdc",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Age: 19 Gender: Male'"
      ]
     },
     "execution_count": 81,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lst_eng[-1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "id": "b807032b-809d-4095-a16f-f99ec10ede41",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Name:', 'Name of the father', 'Home Number: -', 'Age: 19', 'Gender: Male']"
      ]
     },
     "execution_count": 82,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "parts = lst_eng[-1].split('Gender:')\n",
    "del lst_eng[-1]\n",
    "lst_eng.append(parts[0].strip())\n",
    "lst_eng.append('Gender: ' + parts[1].strip())\n",
    "lst_eng"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "id": "e2935057-fbad-4e6a-84ff-e033fccd8010",
   "metadata": {},
   "outputs": [],
   "source": [
    "result_dict = {}\n",
    "\n",
    "for item in lst_eng:\n",
    "    parts = item.split(':', 1)\n",
    "    \n",
    "    if len(parts) == 2:\n",
    "        key = parts[0].strip()\n",
    "        value = parts[1].strip()\n",
    "        result_dict[key] = value"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "id": "e4aaacd2-f706-4a2a-a1cb-301d7db697d9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'Name': '', 'Home Number': '-', 'Age': '19', 'Gender': 'Male'}"
      ]
     },
     "execution_count": 84,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "result_dict"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "id": "ad755062-346f-485f-8aef-33771521fe40",
   "metadata": {},
   "outputs": [],
   "source": [
    "def bruteForce_translate(imgs):\n",
    "    info_img = imgs.crop(info_box)\n",
    "    tamil_string = pts.image_to_string(info_img, lang = 'tam')\n",
    "    lst_tam = tamil_string.split('\\n')\n",
    "    lst_tam = list(filter(None, lst_tam))\n",
    "    lst_eng = []\n",
    "    for item in lst_tam:\n",
    "        lst_eng.append(translator.translate(item, src = 'ta', dest='en').text)\n",
    "    father_name = 'தந் ைத பெயர்'\n",
    "    string = lst_tam[1]\n",
    "    if father_name in lst_tam[1]:\n",
    "        lst_eng[1] = lst_eng[1].replace('Name', 'Name of the father')\n",
    "    parts = lst_eng[-1].split('Gender:')\n",
    "    del lst_eng[-1]\n",
    "    lst_eng.append(parts[0].strip())\n",
    "    lst_eng.append('Gender: ' + parts[1].strip())\n",
    "    result_dict = {}\n",
    "    for item in lst_eng:\n",
    "        parts = item.split(':', 1)\n",
    "        if len(parts) == 2:\n",
    "            key = parts[0].strip()\n",
    "            value = parts[1].strip()\n",
    "            result_dict[key] = value\n",
    "            \n",
    "    return result_dict"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "id": "e67bd740-56bd-4630-a3d0-880c63eeb372",
   "metadata": {},
   "outputs": [],
   "source": [
    "# intial function's error\n",
    "# image_to_info(imgs[14])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "id": "fccca977-05e8-4bcc-be84-2a0db903b973",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'Name': '', 'Home Number': '-', 'Age': '19', 'Gender': 'Male'}"
      ]
     },
     "execution_count": 87,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bruteForce_translate(imgs[14])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "962cd113-d901-4f95-b21d-e56e1fa750dc",
   "metadata": {},
   "source": [
    "---"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "id": "e821aea2-afba-4621-b7dd-36e63134deb2",
   "metadata": {},
   "outputs": [],
   "source": [
    "def image_to_info_brute(image):\n",
    "    data = bruteForce_translate(image)\n",
    "    data['Voter ID'] = extract_voter_id(image)\n",
    "    data['Age'] = extract_voter_age(image)\n",
    "    data['Home Number'] = extract_voter_home(image)\n",
    "    return data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "id": "3fb7bfc3-4531-4e65-9228-d24e599a211f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'Name': 'Subramani',\n",
       " 'Home Number': '-',\n",
       " 'Age': '56',\n",
       " 'Gender': 'Male',\n",
       " 'Voter ID': 'AYR1361138'}"
      ]
     },
     "execution_count": 89,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "image_to_info_brute(imgs[23])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "id": "cb3cb801-acb2-4206-aa2c-b3804bc0bbdb",
   "metadata": {},
   "outputs": [],
   "source": [
    "# bruteForce = 0\n",
    "# start = time.time()\n",
    "# for img in imgs:\n",
    "#     try:\n",
    "#         record = image_to_info(img)\n",
    "#         # time.sleep(0.3)\n",
    "#     except Exception as e:\n",
    "#         print(f\"Error processing image: {str(e)}. Brute force translation: \")\n",
    "#         record = image_to_info_brute(img)\n",
    "#         bruteForce+=1\n",
    "#     df = df.append(record, ignore_index=True)\n",
    "# end = time.time()\n",
    "# time_taken = end-start"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "id": "a926b867-da15-43bd-bc76-20bd0908cfe6",
   "metadata": {},
   "outputs": [],
   "source": [
    "# print('Time_Taken: ', time_taken, 'No. of bruteforces: ', bruteForce)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "id": "0b1c215c-60c1-4922-a60b-63fc9644df9b",
   "metadata": {},
   "outputs": [],
   "source": [
    "# df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "id": "51978176-c813-4620-8251-27efd9a7a65a",
   "metadata": {},
   "outputs": [],
   "source": [
    "# df.to_csv('page3_brute.csv', index = False, header = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "id": "6be55930-2f79-4eda-903f-05a031085c66",
   "metadata": {},
   "outputs": [],
   "source": [
    "bounding_box_alt = (50, 83, 1185, 1580)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "id": "00c9cd5d-a2a1-47b2-b102-aeb084647ba1",
   "metadata": {},
   "outputs": [],
   "source": [
    "pngs = []\n",
    "for p in range(4,11):\n",
    "    pngs.append(Image.open(f'page_{p}.png'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "id": "0c1532d7-b7c5-4b72-a77e-c63a333651e1",
   "metadata": {},
   "outputs": [],
   "source": [
    "imgs_4_10 = []\n",
    "for img in pngs:\n",
    "    imgs_4_10.append(img.crop(bounding_box_alt))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "id": "0c6abc03-330b-4d24-b0e6-af749c85df55",
   "metadata": {},
   "outputs": [],
   "source": [
    "voters = []\n",
    "for ig in imgs_4_10:\n",
    "    for row in range(10):\n",
    "        for col in range(3):\n",
    "            box = (375*col, 150*row, 375*(col+1), 150*(row+1))\n",
    "            voters.append(ig.crop(box))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "id": "c93bbcc0-1b7b-44d6-8885-5770bf042285",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "210"
      ]
     },
     "execution_count": 98,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(voters)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "87a5148c-e9b7-4896-8d6e-4b862cc32a8e",
   "metadata": {},
   "source": [
    "30 records/page: page 4-10 (7 pages) ~ Total 7 X 30 = 210 records "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "id": "2a037d65-64c4-4ac4-a3b5-0a2862e642cc",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_4_10 = pd.DataFrame()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "id": "9fe87b2e-6a0e-4e7c-ad9c-4c092d747a69",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Error processing image. Brute force translation: \n",
      "Error processing image. Brute force translation: \n",
      "Error processing image. Brute force translation: \n",
      "Error processing image. Brute force translation: \n",
      "Error processing image. Brute force translation: \n",
      "Error processing image. Brute force translation: \n",
      "Error processing image. Brute force translation: \n",
      "Error processing image. Brute force translation: \n",
      "Error processing image. Brute force translation: \n",
      "Error processing image. Brute force translation: \n",
      "Error processing image. Brute force translation: \n",
      "Error bruteforce\n",
      "Error processing image. Brute force translation: \n",
      "Error bruteforce\n",
      "Error processing image. Brute force translation: \n",
      "Error processing image. Brute force translation: \n",
      "Error bruteforce\n",
      "Error processing image. Brute force translation: \n",
      "Error processing image. Brute force translation: \n",
      "Error processing image. Brute force translation: \n",
      "Error bruteforce\n",
      "Error processing image. Brute force translation: \n",
      "Error processing image. Brute force translation: \n",
      "Error processing image. Brute force translation: \n",
      "Error processing image. Brute force translation: \n",
      "Error bruteforce\n",
      "Error processing image. Brute force translation: \n",
      "Error processing image. Brute force translation: \n",
      "Error bruteforce\n",
      "Error processing image. Brute force translation: \n",
      "Error processing image. Brute force translation: \n",
      "Error processing image. Brute force translation: \n",
      "Error bruteforce\n",
      "Error processing image. Brute force translation: \n",
      "Error bruteforce\n",
      "Error processing image. Brute force translation: \n",
      "Error processing image. Brute force translation: \n",
      "Error bruteforce\n",
      "Error processing image. Brute force translation: \n",
      "Error bruteforce\n",
      "Error processing image. Brute force translation: \n",
      "Error processing image. Brute force translation: \n",
      "Error bruteforce\n",
      "Error processing image. Brute force translation: \n",
      "Error bruteforce\n",
      "Error processing image. Brute force translation: \n",
      "Error processing image. Brute force translation: \n",
      "Error bruteforce\n",
      "Error processing image. Brute force translation: \n",
      "Error bruteforce\n",
      "Error processing image. Brute force translation: \n",
      "Error bruteforce\n",
      "Error processing image. Brute force translation: \n",
      "Error processing image. Brute force translation: \n",
      "Error bruteforce\n",
      "Error processing image. Brute force translation: \n",
      "Error bruteforce\n",
      "Error processing image. Brute force translation: \n",
      "Error bruteforce\n",
      "Error processing image. Brute force translation: \n",
      "Error bruteforce\n",
      "Error processing image. Brute force translation: \n",
      "Error bruteforce\n",
      "Error processing image. Brute force translation: \n",
      "Error processing image. Brute force translation: \n",
      "Error bruteforce\n",
      "Error processing image. Brute force translation: \n",
      "Error bruteforce\n",
      "Error processing image. Brute force translation: \n",
      "Error processing image. Brute force translation: \n",
      "Error processing image. Brute force translation: \n",
      "Error bruteforce\n",
      "Error processing image. Brute force translation: \n",
      "Error processing image. Brute force translation: \n",
      "Error processing image. Brute force translation: \n",
      "Error processing image. Brute force translation: \n",
      "Error processing image. Brute force translation: \n",
      "Error bruteforce\n",
      "Error processing image. Brute force translation: \n",
      "Error bruteforce\n",
      "Error processing image. Brute force translation: \n",
      "Error processing image. Brute force translation: \n",
      "Error bruteforce\n",
      "Error processing image. Brute force translation: \n",
      "Error processing image. Brute force translation: \n",
      "Error bruteforce\n",
      "Error processing image. Brute force translation: \n",
      "Error processing image. Brute force translation: \n",
      "Error bruteforce\n",
      "Error processing image. Brute force translation: \n"
     ]
    }
   ],
   "source": [
    "bruteForce = 0\n",
    "start = time.time()\n",
    "for img in voters:\n",
    "    try:\n",
    "        record = image_to_info(img)\n",
    "    except Exception as e:\n",
    "        # print(f\"Error processing image. Brute force translation: \")\n",
    "        try: \n",
    "            record = image_to_info_brute(img)\n",
    "        except:\n",
    "            # print(f\"Error bruteforce\")\n",
    "            bruteForce+=1\n",
    "            continue\n",
    "    df_4_10 = df_4_10.append(record, ignore_index=True)\n",
    "end = time.time()\n",
    "time_taken = end-start"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "id": "c98092e9-44a3-4d6b-9845-ea8ef65ff38b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Drop rate: 0.0\n",
      "Time Taken: 12.42451697587967 mins.\n"
     ]
    }
   ],
   "source": [
    "fail = bruteForce/len(voters) * 100\n",
    "print(f\"Drop rate: {fail}\")\n",
    "print(f\"Time Taken: {time_taken/60} mins.\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "id": "92572613-1452-4954-b65f-d5139cfce320",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Name</th>\n",
       "      <th>Husband Name</th>\n",
       "      <th>Home Number</th>\n",
       "      <th>Age</th>\n",
       "      <th>Gender</th>\n",
       "      <th>Voter ID</th>\n",
       "      <th>Mabayara</th>\n",
       "      <th>Bira</th>\n",
       "      <th>Biran</th>\n",
       "      <th>Abayara</th>\n",
       "      <th>Mother Name</th>\n",
       "      <th>Father Name</th>\n",
       "      <th>Abhayara</th>\n",
       "      <th>Bihara</th>\n",
       "      <th>The name of the father</th>\n",
       "      <th>Bread</th>\n",
       "      <th>Biura</th>\n",
       "      <th>Bureau</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Subbamma -</td>\n",
       "      <td>Kishthaya -</td>\n",
       "      <td>-</td>\n",
       "      <td>34</td>\n",
       "      <td>Female</td>\n",
       "      <td>AYR1052265,</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Cotton</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-</td>\n",
       "      <td>34</td>\n",
       "      <td>Male</td>\n",
       "      <td>AYR0562033,</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Hour</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-</td>\n",
       "      <td>33</td>\n",
       "      <td>Female</td>\n",
       "      <td>AYR0562124</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Vijayalakshmi</td>\n",
       "      <td>Udayakumar</td>\n",
       "      <td>-</td>\n",
       "      <td>32</td>\n",
       "      <td>Female</td>\n",
       "      <td>AYR1424845</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Rajakumari -</td>\n",
       "      <td>Ravanan -</td>\n",
       "      <td>-</td>\n",
       "      <td>31</td>\n",
       "      <td>Female</td>\n",
       "      <td>AYR1092188</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>177</th>\n",
       "      <td>Karthik</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-</td>\n",
       "      <td>19</td>\n",
       "      <td>Female</td>\n",
       "      <td>AYR2392850</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Abirami</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>178</th>\n",
       "      <td>Tanasekar</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-</td>\n",
       "      <td>25</td>\n",
       "      <td>Male</td>\n",
       "      <td>AYRO976100</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Karathika -</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>179</th>\n",
       "      <td></td>\n",
       "      <td>NaN</td>\n",
       "      <td>15</td>\n",
       "      <td>25</td>\n",
       "      <td>Male</td>\n",
       "      <td>AYR0801936</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Manikandan -</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>180</th>\n",
       "      <td>Wealth</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-</td>\n",
       "      <td>25</td>\n",
       "      <td>Female</td>\n",
       "      <td>AYRO976183</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Selvi -</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>181</th>\n",
       "      <td>Ravi</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-</td>\n",
       "      <td>28</td>\n",
       "      <td>Male</td>\n",
       "      <td>AYRO721092</td>\n",
       "      <td>NaN</td>\n",
       "      <td>King -</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>182 rows × 18 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "              Name Husband Name Home Number Age  Gender     Voter ID Mabayara  \\\n",
       "0       Subbamma -  Kishthaya -           -  34  Female  AYR1052265,      NaN   \n",
       "1           Cotton          NaN           -  34    Male  AYR0562033,      NaN   \n",
       "2             Hour          NaN           -  33  Female   AYR0562124      NaN   \n",
       "3    Vijayalakshmi   Udayakumar           -  32  Female   AYR1424845      NaN   \n",
       "4     Rajakumari -    Ravanan -           -  31  Female   AYR1092188      NaN   \n",
       "..             ...          ...         ...  ..     ...          ...      ...   \n",
       "177        Karthik          NaN           -  19  Female   AYR2392850      NaN   \n",
       "178      Tanasekar          NaN           -  25    Male   AYRO976100      NaN   \n",
       "179                         NaN          15  25    Male   AYR0801936      NaN   \n",
       "180         Wealth          NaN           -  25  Female   AYRO976183      NaN   \n",
       "181           Ravi          NaN           -  28    Male   AYRO721092      NaN   \n",
       "\n",
       "       Bira Biran       Abayara Mother Name Father Name Abhayara Bihara  \\\n",
       "0       NaN   NaN           NaN         NaN         NaN      NaN    NaN   \n",
       "1       NaN   NaN           NaN         NaN         NaN      NaN    NaN   \n",
       "2       NaN   NaN           NaN         NaN         NaN      NaN    NaN   \n",
       "3       NaN   NaN           NaN         NaN         NaN      NaN    NaN   \n",
       "4       NaN   NaN           NaN         NaN         NaN      NaN    NaN   \n",
       "..      ...   ...           ...         ...         ...      ...    ...   \n",
       "177     NaN   NaN       Abirami         NaN         NaN      NaN    NaN   \n",
       "178     NaN   NaN           NaN         NaN         NaN      NaN    NaN   \n",
       "179     NaN   NaN  Manikandan -         NaN         NaN      NaN    NaN   \n",
       "180     NaN   NaN       Selvi -         NaN         NaN      NaN    NaN   \n",
       "181  King -   NaN           NaN         NaN         NaN      NaN    NaN   \n",
       "\n",
       "    The name of the father Bread Biura       Bureau  \n",
       "0                      NaN   NaN   NaN          NaN  \n",
       "1                      NaN   NaN   NaN          NaN  \n",
       "2                      NaN   NaN   NaN          NaN  \n",
       "3                      NaN   NaN   NaN          NaN  \n",
       "4                      NaN   NaN   NaN          NaN  \n",
       "..                     ...   ...   ...          ...  \n",
       "177                    NaN   NaN   NaN          NaN  \n",
       "178                    NaN   NaN   NaN  Karathika -  \n",
       "179                    NaN   NaN   NaN          NaN  \n",
       "180                    NaN   NaN   NaN          NaN  \n",
       "181                    NaN   NaN   NaN          NaN  \n",
       "\n",
       "[182 rows x 18 columns]"
      ]
     },
     "execution_count": 104,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_4_10"
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  },
  {
   "cell_type": "code",
   "execution_count": 105,
   "id": "caf057db-da45-418e-b3af-411d5c5a150f",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_4_10.to_csv('page4_10_brute.csv', index = False, header = True)"
   ]
  }
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