title: Finger-vein verification based on multi-features fusion.
abstract: This paper presents a new scheme to improve the performance of finger-vein identification systems. Firstly, a vein pattern extraction method to extract the finger-vein shape and orientation features is proposed. Secondly, to accommodate the potential local and global variations at the same time, a region-based matching scheme is investigated by employing the Scale Invariant Feature Transform (SIFT) matching method. Finally, the finger-vein shape, orientation and SIFT features are combined to further enhance the performance. The experimental results on databases of 426 and 170 fingers demonstrate the consistent superiority of the proposed approach.
authors.affiliation: School of Computer Science and Information Engineering, Chongqing Technology and Business University, Chongqing 400030, China. qinhuafengfeng@163.com.
authors.forename: Huafeng
authors.initials: H
authors.lastname: Qin
authors.forename: Lan
authors.initials: L
authors.lastname: Qin
authors.forename: Lian
authors.initials: L
authors.lastname: Xue
authors.forename: Xiping
authors.initials: X
authors.lastname: He
authors.forename: Chengbo
authors.initials: C
authors.lastname: Yu
authors.forename: Xinyuan
authors.initials: X
authors.lastname: Liang
mesh_terms: D056667:Biometric Identification / Q000379:methods*; D016208:Databases, Factual; D005385:Fingers / Q000098:blood supply*; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D012372:ROC Curve; D060388:Support Vector Machine