Sensors 2012, 12(2), 1738-1757; doi:10.3390/s120201738
Article

Finger Vein Recognition Based on a Personalized Best Bit Map

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Received: 24 December 2011; in revised form: 2 February 2012 / Accepted: 3 February 2012 / Published: 9 February 2012
(This article belongs to the Special Issue Hand-Based Biometrics Sensors and Systems)
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Abstract: Finger vein patterns have recently been recognized as an effective biometric identifier. In this paper, we propose a finger vein recognition method based on a personalized best bit map (PBBM). Our method is rooted in a local binary pattern based method and then inclined to use the best bits only for matching. We first present the concept of PBBM and the generating algorithm. Then we propose the finger vein recognition framework, which consists of preprocessing, feature extraction, and matching. Finally, we design extensive experiments to evaluate the effectiveness of our proposal. Experimental results show that PBBM achieves not only better performance, but also high robustness and reliability. In addition, PBBM can be used as a general framework for binary pattern based recognition.
Keywords: finger vein recognition; personalized best bit map; local binary pattern; Hamming distance; general framework
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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MDPI and ACS Style

Yang, G.; Xi, X.; Yin, Y. Finger Vein Recognition Based on a Personalized Best Bit Map. Sensors 2012, 12, 1738-1757.

AMA Style

Yang G, Xi X, Yin Y. Finger Vein Recognition Based on a Personalized Best Bit Map. Sensors. 2012; 12(2):1738-1757.

Chicago/Turabian Style

Yang, Gongping; Xi, Xiaoming; Yin, Yilong. 2012. "Finger Vein Recognition Based on a Personalized Best Bit Map." Sensors 12, no. 2: 1738-1757.


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