Finger-Vein Segmentation Based on Multi-channel Even-symmetric Gabor Filters
As a new approach to personal identification, fingervein recognition is becoming an active topic in biometrics. And exploiting the underlying features related to finger-vein networks has been considered as a reliable way for finger-vein recognition. However, finger-vein network segmentation always is a difficult task due to the low contrast of finger-vein images. This paper focuses on finger-vein enhancement and segmentation based on Gabor filters in the spatial domain. Considering the high randomicity of the finger-vein networks, a bank of even-symmetric Gabor filters with eight orientations is firstly used to exploit vein information in images. Then, image reconstruction is implemented to generate an image containing an integrated finger-vein network. Finally, the finger-vein network is segmented using a proposed threshold image method. Experimental results show that the proposed method is capable of enhancing and segmenting finger-vein networks reliably and effectively.
Jinfeng Yang Jinli Yang Yihua Shi
Tianjin Key Lab for Advanced Signal Processing Civil Aviation University of China,P.O.Box 9,Tianjin,P.R.China
国际会议
上海
英文
3029-3032
2009-11-20（万方平台首次上网日期，不代表论文的发表时间）