A novel finger-vein recognition method with feature combination

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.