Using moments features from Gabor directional images for Kannada handwriting character recognition
Proceedings of the International Conference and Workshop on Emerging Trends in Technology
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In this paper a Bilingual Character Recognition System is proposed for the characterization and classification of printed Malayalam-English characters. Indian scripts in general are rich in patterns and variations. Gabor features are extracted after the word level segmentation to identify the script and recognition is based on characterization usingDominant singular values. A recognition rate of 96.5% was achieved for the two–stage classification approach.