A novel finger-vein recognition method with feature combination

Authors:
Jinfeng Yang;Yihua Shi;Jinli Yang;Lihui Jiang
Affiliations:
Tianjin Key Lab for Advanced Signal Processing, Civil Aviation University of China, Tianjin, P.R. China;Tianjin Key Lab for Advanced Signal Processing, Civil Aviation University of China, Tianjin, P.R. China;Tianjin Key Lab for Advanced Signal Processing, Civil Aviation University of China, Tianjin, P.R. China;Tianjin Key Lab for Advanced Signal Processing, Civil Aviation University of China, Tianjin, P.R. China
Venue:
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Year:
2009

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Abstract

A novel method of exploiting finger-vein features for personal identification is proposed in this paper. First, the circular Gabor filter is used to enhance finger-vein region in an image. Then, image segmentation is implemented for finger-vein network extraction. To obtain the finger-vein skeleton, thinning operation is performed accordingly. Based on the extracted network and skeleton, finger-vein features on local moments, topological structure and statistics are exploited respectively. Finally, a fusion scheme is adopted for decision making. The experimental results show that the proposed method has good performance in personal identification.