Smart Document Scanner

Smart Document Scanner is software which takes traditional documents as images and recognizes data from it then represents it in a meaningful manner. Traditional way of scanning documents and adding manual data entry is slow and error prone. To reduce man power and faster the process of scanning documents we created Smart Document Scanner.

Smart Document Scanner takes the document as image crop document from it, identifies type of document, then based type of document retrieves data from it where coordinates of data field are pre-store in JSON file.

Technology used to build project

Python dependency

• Flask (micro web framework of connecting user interface with core logic)
• Cv2 (for image processing algorithms)
• Pytesseract (optical character recognition)
• Numpy (manipulate images used along with numpy)
• Json (store property of documents)
• Re (secret labs' regular expression engine)
• Difflib (helpers for computing deltas between objects)
• Os (accessing and creating images and directory)
• Sultan (for using zenity file dialog)
• Peewee (ORM for sqlite)
• Datetime (Accessing date and time)
• Flask_cors (for handling CROS support)

Frontend

• VueJs 2 (model–view–viewmodel front end JavaScript framework)
• Bulma css (UI kit)
• Axion (Promise based HTTP client for the browser)
• Material Icon (icon pack)

System

• Zenity (fill selection dialog)
• Sqlite (database)
• Tesseract (OCR)

Steps to set up the environment and execute project

Implementation Environment

Python 3 Installation Inside terminal: $ sudo apt-get install python3.*

Backend Setup

Install following python dependency

flask: $ pip install Flask

cv2: $ pip install opencv-python

pytesseract: $ pip install pytesseract

numpy: $ pip install numpy

sultan: $ pip install sultan

peewee: $ pip install peewee

flask_cors: $ pip install flask-cors

Tesseract setup

$ sudo apt-get install tesseract-ocr

Adding Gujarati Language Support

$ sudo apt-get install tesseract-ocr-guj

Sqlite setup

$ sudo apt-get install sqlite3

Executing Project

git clone https://github.com/sameep-baraiya/smart-document-scanner.git
cd smart-document-scanner
export FLASK_APP=login.py
flask run

http://127.0.0.1:5000/ ​ open URL on browser.

Project Information

Prepared by

Aghera Manan, Baraiya Sameep

Under the guidance of

Prof. (Dr.) Vipul Dabhi - Associate Professor & Head, IT Dept., DDU

Prepared for

System Design Practice - Information Technology - Sem VI Dharmsinh Desai University

References

flask, peewee, opencv, pyimagesearch, flask-cors, sultan, tesseract, stackoverflow