Isolated Handwritten Kannada and Tamil Numeral Recognition: A Novel Approach

Author

Rajashekararadhya, S.V. ; Vanaja Ranjan, P. ; Manjunath Aradhya, V.N.

Author_Institution

Dept. of Electr. Eng., Anna Univ., Chennai

fYear

2008

fDate

16-18 July 2008

Firstpage

1192

Lastpage

1195

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.

Keywords

handwritten character recognition; optical character recognition; pattern classification; handwritten character recognition; handwritten documents; isolated handwritten Kannada numeral recognition; isolated handwritten Tamil numeral recognition; nearest neighbor classifier; optical character recognition; Character recognition; Classification algorithms; Distance measurement; Feature extraction; Handwriting recognition; Pixel; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Emerging Trends in Engineering and Technology, 2008. ICETET '08. First International Conference on

Conference_Location

Nagpur, Maharashtra

Print_ISBN

978-0-7695-3267-7

Type

conf

DOI

10.1109/ICETET.2008.37

Filename

4580085