Recognition of handprinted Chinese characters using Gabor features
Yoshihiko Hamamoto, Shunji Uchimura, Katsunori Masamizu, Shunsuke Tomita · 2002
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.