Pre-Requisites: Python 3.5 64 bit python libraries: tensorflow, numpy, openCV, keras, matplotlib, math
Input: Insert the path of the image/images specified in the OCR.py file
Output: A matplotlib generated image(input image) and segmented images will be shown which will be labelled with the category in which they have been classified.
Note: Download the .h5 file and place in the same directory as the OCR.py project. The .h5 file is the prebuilt and stored model which will be used to classify alphabets.