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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

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OCR on NIST Special Datbase 19 using Tensorflow

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  • Python 49.6%
  • C++ 44.8%
  • MATLAB 5.6%