title: Finger vein recognition based on personalized weight maps.
abstract: Finger vein recognition is a promising biometric recognition technology, which verifies identities via the vein patterns in the fingers. Binary pattern based methods were thoroughly studied in order to cope with the difficulties of extracting the blood vessel network. However, current binary pattern based finger vein matching methods treat every bit of feature codes derived from different image of various individuals as equally important and assign the same weight value to them. In this paper, we propose a finger vein recognition method based on personalized weight maps (PWMs). The different bits have different weight values according to their stabilities in a certain number of training samples from an individual. Firstly we present the concept of PWM, and then propose the finger vein recognition framework, which mainly consists of preprocessing, feature extraction, and matching. Finally, we design extensive experiments to evaluate the effectiveness of our proposal. Experimental results show that PWM achieves not only better performance, but also high robustness and reliability. In addition, PWM 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. ylyin@sdu.edu.cn.
authors.forename: Gongping
authors.initials: G
authors.lastname: Yang
authors.forename: Rongyang
authors.initials: R
authors.lastname: Xiao
authors.forename: Yilong
authors.initials: Y
authors.lastname: Yin
authors.forename: Lu
authors.initials: L
authors.lastname: Yang
mesh_terms: D000465:Algorithms; D001699:Biometry; D005385:Fingers / Q000098:blood supply*; D006801:Humans; D010363:Pattern Recognition, Automated / Q000379:methods*; D010781:Photography / Q000379:methods*; D010783:Photometry / Q000295:instrumentation*; D011996:Records; D013382:Subtraction Technique
references.citation: IEEE Trans Image Process. 2012 Apr;21(4):2228-44
references.pmid: 21997267
references.citation: Sensors (Basel). 2011;11(3):2319-33
references.pmid: 22163741
references.citation: Sensors (Basel). 2012;12(2):1738-57
references.pmid: 22438735
references.citation: IEEE Trans Pattern Anal Mach Intell. 2011 Sep;33(9):1744-57
references.pmid: 21173439
references.citation: Sensors (Basel). 2013 Mar 18;13(3):3799-815
references.pmid: 23507824
references.citation: IEEE Trans Pattern Anal Mach Intell. 2009 Jun;31(6):964-73
references.pmid: 19372603
references.citation: Sensors (Basel). 2011;11(12):11357-71
references.pmid: 22247670
references.citation: Interdiscip Sci. 2009 Dec;1(4):280-9
references.pmid: 20640806