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EXTRACT

Introduction

EXTRACT is an optical character recognition engine for various operating systems which extracts texts from an image and converts them to plain text.

This model is a very primitive form of the original google tesseract which extracts texts (ONLY CAPITAL LETTERS) from an image and converts them to plain text.

Modules/Library REQUIREMENTS:

  1. os
  2. numpy
  3. PIL
  4. sys
  5. keras
  6. cropyble
  7. cv2
  8. shutil

How To Run the script:

NOTE1:- The trained model is not provided. So for the very first time run the script as it is. Once the model is trained: COMMENT OUT 'Train_Model' on line '65' and then run the script for further use.

NOTE2:- Only some fonts were taken into account so remember to use default font (calibri) in image texts with a FONT SIZE of '72' as there are assumptions to extract letters.

Run the script on your terminal: 'python3 tesseract.py': input image is:

output is (the predicted result is at the bottom):

The input image can be of any number of words example:

output is: