malikakarsh/extract

A very primitive form of original google tesseract which extracts texts (ONLY CAPITAL LETTERS) from an image and converts them to plain text

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: