title: Finger vein recognition based on a personalized best bit map.
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.
authors.affiliation: School of Computer Science and Technology, Shandong University, Jinan 250101, China. gpyang@sdu.edu.cn
authors.forename: Gongping
authors.initials: G
authors.lastname: Yang
authors.forename: Xiaoming
authors.initials: X
authors.lastname: Xi
authors.forename: Yilong
authors.initials: Y
authors.lastname: Yin
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D001699:Biometry / Q000379:methods*; D003878:Dermatoglyphics; D005385:Fingers / Q000098:blood supply*; D006801:Humans; D010363:Pattern Recognition, Automated / Q000379:methods*; D012815:Signal Processing, Computer-Assisted; D014680:Veins / Q000033:anatomy & histology*