基于Gabor特征的手印汉字识别

Proceedings of 3rd International Conference on Document Analysis and Recognition Pub Date : 1995-08-14 DOI:10.1109/ICDAR.1995.602027

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

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引用次数: 25

摘要

提出了一种基于Gabor滤波器的手印汉字识别方法。Gabor字符识别方法在直观上很有吸引力，因为它的灵感来自于人类视觉系统早期处理视觉信息的多通道过滤理论。在ETL-8字符集上演示了使用Gabor特征的字符识别系统的性能。心理结果表明，Gabor特征产生的错误率为2.4%，而使用流行的特征提取方法获得的错误率为4.4%。

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Recognition of handprinted Chinese characters using Gabor features

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.

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Proceedings of 3rd International Conference on Document Analysis and Recognition

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