A comparative study of Gabor feature and gradient feature for handwritten Chinese character recognition

作者：Ding Kai^*; Liu Zhibin; Jin Lianwen; Zhu Xinghua

来源：5th International Conference on Wavelet Analysis and Pattern Recognition, China,Beijing, 2007-11-02 to 2007-11-04.

• gradient feature
• Gabor feature
• feature extraction
• handwritten Chinese character recognition (HCCR)

Gabor feature and Gradient feature have been proven to be two most efficient features for handwritten character recognition recently;. However, few comprehensive comparative researches on the performance of these two methods in large scale handwritten Chinese character recognition (HCCR) were reported in the literature. In this paper, we compare these two methods for large scale HCCR. Some new interesting conclusions were obtained through this study The result showed that the performance of gradient feature significantly outperfoms Gabor feature. Multi-channel Gabor feature can improve the performance of single-channel Gabor feature. We also observed that the recognition accuracy hardly, gel obvious increasing after the number of directions of Gabor feature achieves 5. That means only 5 directional parameters of Gabor features are necessary to achieve a good enough performance, rather than 8 directions which are widely used in the literature.

• 出版日期2007
• 单位华南理工大学