Title :
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
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;
Conference_Titel :
Document Analysis and Recognition, 1995., Proceedings of the Third International Conference on
Conference_Location :
Montreal, Que.
Print_ISBN :
0-8186-7128-9
DOI :
10.1109/ICDAR.1995.602027
