Recognition of handprinted Chinese characters using Gabor features

Author

Hamamoto, Y. ; Uchimura, S. ; Masamizu, K. ; Tomita, S.

Author_Institution

Fac. of Eng., Yamaguchi Univ., Ube, Japan

Volume

2

fYear

1995

fDate

14-16 Aug 1995

Firstpage

819

Abstract

A method for handprinted Chinese character recognition based on Gabor filters is proposed. The Gabor approach to character recognition is intuitively appealing because it is inspired by a multi-channel filtering theory for processing visual information in the early stages of the human visual system. The performance of a character recognition system using Gabor features is demonstrated on the ETL-8 character set. Mental results show that the Gabor features yielded an error rate of 2.4% versus the error rate of 4.4% obtained by using a popular feature extraction method

Keywords

character sets; errors; feature extraction; filtering theory; handwriting recognition; optical character recognition; performance evaluation; ETL-8 character set; Gabor features; Gabor filters; error rate; feature extraction; handprinted Chinese character recognition; human visual system; multichannel filtering theory; performance; visual information processing; Character recognition; Computer vision; Educational institutions; Error analysis; Feature extraction; Filtering theory; Gabor filters; Humans; Robustness; Visual system;

fLanguage

English

Publisher

ieee

Conference_Titel

Document Analysis and Recognition, 1995., Proceedings of the Third International Conference on

Conference_Location

Montreal, Que.

Print_ISBN

0-8186-7128-9

Type

conf

DOI

10.1109/ICDAR.1995.602027

Filename

602027