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Emerging Trends in Engineering & Technology, International Conference on (2008)
July 16, 2008 to July 18, 2008
ISBN: 978-0-7695-3267-7
pp: 1192-1195
Handwritten character recognition has received extensive attention in academic and production fields. The recognition system can be either online or off-line. There is a large demand for Optical character recognition on hand written documents. India is a multi-lingual country and multi script country, where eighteen official scripts are accepted and have over hundred regional languages. In this paper we have proposed the projection distance metric and zoning based scheme for numeral recognition. We tested our proposed method for Kannada and Tamil numerals. A nearest neighbor classifier is used for subsequent purpose. The proposed method gives around 93% and 90% of recognition accuracy for Kannada and Tamil numerals respectively.
Handwriting recognition, Feature extraction, Character recognition, Distance measurement, Pixel, Classification algorithms, Testing

"Isolated Handwritten Kannada and Tamil Numeral Recognition: A Novel Approach," 2008 1st International Conference on Emerging Trends in Engineering and Technology (ICETET), Nagpur, Maharashtra, 2008, pp. 1192-1195.
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