Finger Vein Recognition Based on a Personalized Best Bit Map

Sensors

Gongping Yang¹  Xiaoming Xi¹ 

[1] School of Computer Science and Technology, Shandong University, Jinan 250101, China;

关键词: finger vein recognition;    personalized best bit map;    local binary pattern;    Hamming distance;    general framework;   

DOI  :  10.3390/s120201738

来源: mdpi

【 摘 要 】

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.

【 授权许可】

CC BY   
© 2012 by the authors; licensee MDPI, Basel, Switzerland