Finger-Vein recognition based on a bank of gabor filters

Authors:
Jinfeng Yang;Yihua Shi;Jinli Yang
Affiliations:
Tianjin Key Lab for Advanced Signal Processing, Civil Aviation University of China, Tianjin, China;Tianjin Key Lab for Advanced Signal Processing, Civil Aviation University of China, Tianjin, China;Tianjin Key Lab for Advanced Signal Processing, Civil Aviation University of China, Tianjin, China
Venue:
ACCV'09 Proceedings of the 9th Asian conference on Computer Vision - Volume Part I
Year:
2009

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Abstract

This paper presents a new finger-vein based method of personal identification. A reliable finger-vein region suitable for recognition is first acquired using our homemade imaging system. To exploit the finger-vein characteristics with high randomicity, a bank of Gabor filters specific to finger-vein analysis is then designed. Based on the spatial filtered images, finger-vein feature vectors are constructed for describing finger-vein characteristics in two filter scales. Finally, a fusion scheme in decision level is adopted to improve the reliability of identification. Experimental results are given to show the effectiveness of the proposed method in personal identification.