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

Authors:
C. S. Sundaresan;S. S. Keerthi
Affiliations:
-;-
Venue:
ICDAR '99 Proceedings of the Fifth International Conference on Document Analysis and Recognition
Year:
1999

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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.