TRI-SCRIPTS HANDWRITTEN NUMERAL RECOGNITION: A NOVEL APPROACH
Authors: Benne R.G., Dhandra B.V., Mallikarjun Hangarge
Number of views: 540
In this paper an automatic recognition system for isolated handwritten numerals recognition for three popular south Indian scripts. Kannada, Devanagari, and Telugu numeral sets are used for their recognition. The proposed method is thinning free and without size normalization. The structural features viz. directional density of pixels, water reservoirs, maximum profile distancess, and fill hole density are used for handwritten numerals recognition. A Eclidian distance criterion and K-nearest neighbor classifier is used to classify the handwritten numerals. A total of 5250 numeral images are considered for experimentation, and the overall accuracy of 95.40%, 90.20%, and 98.40% for Kannada, Devanagari and Telugu numerals respectively are achived. The novelty of the proposed method is thinning free, fast, and without size normalization.