Handwritten Urdu Character Recognition Using Zernike MI’s Feature Extraction and Support Vector Machine Classifier

Devendra Singh Kaushal, Yunus Khan, Sunita Varma

Abstract


This paper present handwritten Urdu Character recognition technique based on Zernike invariants and SVM as classifier. Automatic recognition of Handwritten Urdu numerals based on Zernike Moments Invariant (MI) features and SVM classifier is described. The hybrid approach of Zernike moment invariants has been adopted for feature extraction.

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Copyright (c) 2014 Devendra Singh Kaushal, Yunus Khan, Sunita Varma

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