A Gabor filter-based method for recognizing handwritten numerals

被引：118
|
作者：
Hamamoto, Y [1 ]
Uchimura, S
Watanabe, M
Yasuda, T
Mitani, Y
Tomita, S
机构：
[1] Yamaguchi Univ, Fac Engn, Ube, Yamaguchi 755, Japan
[2] Oshima Natl Coll Maritime Technol, Oshima 74221, Japan
来源：
PATTERN RECOGNITION | 1998年 / 31卷 / 04期
关键词：
numeral character recognition; Gabor filter; feature extraction;
D O I：
10.1016/S0031-3203(97)00057-5
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
We study a Gabor-filter-based method for handwritten numeral character recognition. The Gabor filter is based on a multi-channel filtering theory for processing visual information in the early stages of the human visual systems. The performance of the Gabor-filter-based method is demonstrated on the ETL-1 database. Experimental results show that the artificial neural-network classifier achieved the error rate of 2.34% for a test set of 7000 characters. Therefore, the Gabor-filter-based method should be considered in recognition of handwritten numeric characters. (C) 1998 Pattern Recognition Society. Published by Elsevier Science Ltd. All rights reserved.
引用
收藏
页码：395 / 400
页数：6
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