Combination of Gabor wavelets and circular Gabor filter for finger-vein extraction

Authors:
Jinfeng Yang;Jinli Yang;Yihua Shi
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;College of Science, Civil Aviation University of China, Tianjin, P.R. China
Venue:
ICIC'09 Proceedings of the 5th international conference on Emerging intelligent computing technology and applications
Year:
2009

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Abstract

Recently, more attentions have been paid on finger-vein based personal identification. In real applications, finger-vein segmentation always is a crucial step to extract finger-vein features. Since finger-vein images usually are in low contrast, segmentation results often are the abridged versions of fingervein networks. In this paper, we present a new method of finger-vein extraction based on combination of Gabor wavelets and a circular Gabor filter such that the finger-vein networks can be highlighted significantly as well as nonvascular region elimination. First, a family of Gabor wavelets is used to enhance vascular regions in an image. Then, image reconstruction is implemented using a combination rule. Finally, a circular Gabor filter is used for finger-vein extraction. Experimental results show that the proposed method is capable of extracting finger veins in an image reliably and effectively.