A Single Euler Number Feature for Multi-font Multi-size Kannada Numeral Recognition
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 free, fast, and showed encouraging results on varying font styles and sizes of Kannada numerals.
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