Computer Science – Computer Vision and Pattern Recognition
Scientific paper
2011-11-18
Computer Science
Computer Vision and Pattern Recognition
4 pages, 1 figure, 5 tables, "Recent Trends in Information Technology(RTIT-2009)"
Scientific paper
In this paper a novel approach is proposed based on single Euler number feature which is free from thinning and size normalization for multi-font and multi-size Kannada numeral recognition system. A nearest neighbor classification is used for classification of Kannada numerals by considering the Euclidian distance. A total 1500 numeral images with different font sizes between (10..84) are tested for algorithm efficiency and the overall the classification accuracy is found to be 99.00% .The said method is thinning free, fast, and showed encouraging results on varying font styles and sizes of Kannada numerals.
Benne R. G.
Dhandra B. V.
Hangarge Mallikarjun
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