title: Finger vein verification system based on sparse representation.
abstract: Finger vein verification is a promising biometric pattern for personal identification in terms of security and convenience. The recognition performance of this technology heavily relies on the quality of finger vein images and on the recognition algorithm. To achieve efficient recognition performance, a special finger vein imaging device is developed, and a finger vein recognition method based on sparse representation is proposed. The motivation for the proposed method is that finger vein images exhibit a sparse property. In the proposed system, the regions of interest (ROIs) in the finger vein images are segmented and enhanced. Sparse representation and sparsity preserving projection on ROIs are performed to obtain the features. Finally, the features are measured for recognition. An equal error rate of 0.017% was achieved based on the finger vein image database, which contains images that were captured by using the near-IR imaging device that was developed in this study. The experimental results demonstrate that the proposed method is faster and more robust than previous methods.
authors.affiliation: Centre of Information Security, Beijing University of Posts and Telecommunications, Beijing 100876, China.
authors.forename: Yang
authors.initials: Y
authors.lastname: Xin
authors.forename: Zhi
authors.initials: Z
authors.lastname: Liu
authors.forename: Haixia
authors.initials: H
authors.lastname: Zhang
authors.forename: Hong
authors.initials: H
authors.lastname: Zhang
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D056667:Biometric Identification / Q000295:instrumentation / Q000379:methods*; D016208:Databases, Factual; D005385:Fingers / Q000098:blood supply*; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D014680:Veins / Q000033:anatomy & histology*