trane293 / Handwritten-Digit-Classification

Developed a framework to recognize handwritten digits (0-9) using image moments as shape descriptors and a feed forward artificial neural network as classifier. It was implemented to test the recognition power of orthogonal moments.

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This is a folder containing zernike moments files. This folder will contain visualizations
of zernike moments for small examples, to see if the code is working perfectly or not. 

Reading book by Jan Flusser and experimenting with the codes on synthetic images.

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Developed a framework to recognize handwritten digits (0-9) using image moments as shape descriptors and a feed forward artificial neural network as classifier. It was implemented to test the recognition power of orthogonal moments.


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