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Handwritten Digits OCR

example

This repository consists of codes for a handwritten digits recognizer. It consists of a paper region extraction module and a digits recognizer. The application is written in c++, with minimum dependency required.

For technical details, visit this blog post.

Usage (Compiled for macOS Mojave)

Place the trained model under model/

./bin/scan input_image output_image output_txt

Dependency

  • CImg Version 1.6.2 (included)
    • To load PNG: libpng
    • To load JPG: libjpeg
  • Eigen Linear Algebra Library Version 3.3 (included)
  • LibSVM for SVM classifier (included)
  • Libtensorflow for CNN classifier

Folder Structure

  • src code files for OCR software
  • model trained model (SVM and CNN) for digits recognizer
  • include required library (excluding Libtensorflow)
  • bin compiled binaries