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What is Gujarati Character Recognition Techniques about?

This document describes a preliminary study on classifying a subset of printed Gujarati characters using different classifiers. The characters were obtained from online sources and scanned documents and preprocessed before extracting features and classifying them using Euclidean distance, k-nearest neighbors, and Hamming distance classifiers. Regular moments, Hu invariant moments, and binary feature distributions were used as features. A recognition rate of 84% was achieved for the 10 characters classified.

Author

kirtan71

Language

EN