Isolated Handwritten Kannada and Tamil Numeral Recognition: A Novel Approach

Authors:
Rajashekararadhya S. V;Vanaja Ranjan P;Manjunath Aradhya V. N
Affiliations:
-;-;-
Venue:
ICETET '08 Proceedings of the 2008 First International Conference on Emerging Trends in Engineering and Technology
Year:
2008

Citing 0
Cited 2

Handwriting Recognition in Indian Regional Scripts: A Survey of Offline Techniques

ACM Transactions on Asian Language Information Processing (TALIP)
Zoning methods for handwritten character recognition: A survey

Pattern Recognition

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Abstract

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.