Multi-Channel Gabor Filter Design for Finger-vein Image Enhancement
Finger-vein recognition has been considered as one of the most convenient and effective biometric ways for personal identification. Extracting vein characteristics is crucial for finger-vein classification. However, the finger-vein extraction results always are greatly sensitive to noises due to the low contrast of finger-vein images. To robustly exploit real vein information, this paper proposes a novel method of finger-vein enhancement based on multi-channel Gabor filters. Firstly, multi-channel Gabor filters are used to prominently protrude vein vessel information with variances in widths and orientations in images. The vein information in different scales and orientations of Gabor filters is then combined together to generate an enhanced finger-vein image using a reconstruction rule. Experimental results show that the proposed method is capable of enhancing finger-vein images effectively and reliably.
Jinfeng Yang Jinli Yang
Tianjin Key Lab for Advanced Signal Processing Civil Aviation University of China, P.O. Box 9, Tianjin, P.R. China, 300300
国际会议
The Fifth International Conference on Image and Graphics(第五届国际图像图形学学术会议 ICIG 2009)
西安
英文
87-91
2009-09-20（万方平台首次上网日期，不代表论文的发表时间）