A study of representations for pen based handwriting recognition of Tamil characters

Author

Sundaresan, C.S. ; Keerthi, S.S.

Author_Institution

Dept. of Comput. Sci. & Autom., Indian Inst. of Sci., Bangalore, India

fYear

1999

fDate

20-22 Sep 1999

Firstpage

422

Lastpage

425

Abstract

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: a sequence of directions and curvature; a sequence of angles; Fourier transform coefficients; and 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

Keywords

Fourier transforms; handwritten character recognition; image representation; neural nets; optical character recognition; wavelet transforms; Fourier transform coefficients; Indian language; OCR; Tamil characters; curvature; image representations; neural network; pen based handwriting recognition; wavelet features; Automation; Character recognition; Computer networks; Computer science; Graphics; Handwriting recognition; Humans; Natural languages; Speech recognition; Writing;

fLanguage

English

Publisher

ieee

Conference_Titel

Document Analysis and Recognition, 1999. ICDAR '99. Proceedings of the Fifth International Conference on

Conference_Location

Bangalore

Print_ISBN

0-7695-0318-7

Type

conf

DOI

10.1109/ICDAR.1999.791814

Filename

791814