A Single Euler Number Feature for Multi-font Multi-size Kannada Numeral Recognition
Computer Vision and Pattern Recognition
2011-11-21 v1
Abstract
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.
Cite
@article{arxiv.1111.4290,
title = {A Single Euler Number Feature for Multi-font Multi-size Kannada Numeral Recognition},
author = {B. V. Dhandra and R. G. Benne and Mallikarjun Hangarge},
journal= {arXiv preprint arXiv:1111.4290},
year = {2011}
}
Comments
4 pages, 1 figure, 5 tables, "Recent Trends in Information Technology(RTIT-2009)"