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Finger-vein segmentation based on multi-channel even-symmetric Gabor filters

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3 Author(s)
Jinfeng Yang ; Tianjin Key Lab. for Adv. Signal Process., Civil Aviation Univ. of China, Tianjin, China ; Jinli Yang ; Yihua Shi

As a new approach to personal identification, finger-vein 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.

Published in:

Intelligent Computing and Intelligent Systems, 2009. ICIS 2009. IEEE International Conference on  (Volume:4 )

Date of Conference:

20-22 Nov. 2009