Palm vein for efficient person recognition based on 2D Gabor filter

Jixing Wang; Yuqing He; Jiadan Zhu; Xinru Gao; Yongsheng Cui

doi:10.1117/12.2015802

31 May 2013 Palm vein for efficient person recognition based on 2D Gabor filter

Jixing Wang, Yuqing He, Jiadan Zhu, Xinru Gao, Yongsheng Cui

Proceedings Volume 8712, Biometric and Surveillance Technology for Human and Activity Identification X; 87120K (2013) https://doi.org/10.1117/12.2015802
Event: SPIE Defense, Security, and Sensing, 2013, Baltimore, Maryland, United States

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.

Citation Download Citation

Jixing Wang, Yuqing He, Jiadan Zhu, Xinru Gao, and Yongsheng Cui "Palm vein for efficient person recognition based on 2D Gabor filter", Proc. SPIE 8712, Biometric and Surveillance Technology for Human and Activity Identification X, 87120K (31 May 2013); https://doi.org/10.1117/12.2015802

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KEYWORDS

Veins

Feature extraction

Image filtering

Databases

Computer programming

Biometrics

Binary data

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