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Proceedings Paper

Palm vein for efficient person recognition based on 2D Gabor filter
Author(s): Jixing Wang; Yuqing He; Jiadan Zhu; Xinru Gao; Yongsheng Cui
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Paper Abstract

Palm vein recognition is a relatively new method in biometrics. This paper presents an effective palm vein feature extraction approach for improving the efficiency of palm vein identification. In this paper, relevant preprocessing steps as rotation and extraction of the Region of Interest are presented. In feature extraction, multiple 2D Gabor filters with 4 orientations are employed to extract the phase information on a palm vein image, which is then merged into unique feature according to an encoding rule. Hamming distance is used for vein recognition. Experiments are carried on a selfmade palm vein database. Experimental results show that the method in this paper achieved a higher correct recognition rate and a faster speed.

Paper Details

Date Published: 31 May 2013
PDF: 9 pages
Proc. SPIE 8712, Biometric and Surveillance Technology for Human and Activity Identification X, 87120K (31 May 2013); doi: 10.1117/12.2015802
Show Author Affiliations
Jixing Wang, Beijing Institute of Technology (China)
Yuqing He, Beijing Institute of Technology (China)
Jiadan Zhu, Beijing Institute of Technology (China)
Xinru Gao, Beijing Institute of Technology (China)
Yongsheng Cui, Zhejiang Univ. (China)


Published in SPIE Proceedings Vol. 8712:
Biometric and Surveillance Technology for Human and Activity Identification X
Ioannis Kakadiaris; Walter J. Scheirer; Laurence G. Hassebrook, Editor(s)

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