Handwritten Optical Character Recognition

This is a ongoing project that aims to perform OCR on NIST Special Datbase 19 (handwritten characters) containing 62 classes (uppercase, lowercase and digits) using Tensorflow and Python

Source Programs

read_and_train.py: Reading and training from the test folder, which contains a small subset of the entire training data
read3.py: Performs what read_and_train does, with a decaying learning rate
Boundaries.m and TextSegmentation: Segmenting each letter of the read document into individual letters

Dependencies

OpenCV Python Bindings
Numpy
Tensorflow