A Study of Representations for Pen based Handwriting Recognition of Tamil Characters

Sundaresan, CS and Keerthi, SS (1999) A Study of Representations for Pen based Handwriting Recognition of Tamil Characters. In: Fifth International Conference on Document Analysis and Recognition, 1999. ICDAR '99, 20-22 September, Bangalore,India, 422 -425.

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Abstract

In this paper we study the important issue of choosing representations that are suitable for recognizing pen based handwriting of characters in Tamil, a language of India. Four different choices, based on the following set of features are considered: (1) a sequence of directions and curvature; (2) a sequence of angles; (3) Fourier transform coefficients; and (4) wavelet features. We provide arguments in support of the representation using wavelet features. A neural network designed using these features gives excellent accuracy for recognizing Tamil characters.

Item Type:	Conference Paper
Publisher:	IEEE
Additional Information:	Copyright 1990 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Keywords:	Character representations;OLCR;Neural networks;Pen computing;Wavelets
Department/Centre:	Division of Electrical Sciences > Computer Science & Automation
Date Deposited:	06 Mar 2006
Last Modified:	19 Sep 2010 04:24
URI:	http://eprints.iisc.ac.in/id/eprint/5769

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