title: Palm vein verification using multiple features and locality preserving projections.
abstract: Biometrics is defined as identifying people by their physiological characteristic, such as iris pattern, fingerprint, and face, or by some aspects of their behavior, such as voice, signature, and gesture. Considerable attention has been drawn on these issues during the last several decades. And many biometric systems for commercial applications have been successfully developed. Recently, the vein pattern biometric becomes increasingly attractive for its uniqueness, stability, and noninvasiveness. A vein pattern is the physical distribution structure of the blood vessels underneath a person's skin. The palm vein pattern is very ganglion and it shows a huge number of vessels. The attitude of the palm vein vessels stays in the same location for the whole life and its pattern is definitely unique. In our work, the matching filter method is proposed for the palm vein image enhancement. New palm vein features extraction methods, global feature extracted based on wavelet coefficients and locality preserving projections (WLPP), and local feature based on local binary pattern variance and locality preserving projections (LBPV_LPP) have been proposed. Finally, the nearest neighbour matching method has been proposed that verified the test palm vein images. The experimental result shows that the EER to the proposed method is 0.1378%.
authors.affiliation: School of Computer Science and Technology, Harbin Institute of Technology, Harbin 150001, China ; College of Computer Science and Mathematics, University of Al-Qadisiyah, Iraq.
authors.forename: Ali Mohsin
authors.identifier: 0000-0003-0980-9490
authors.initials: AM
authors.lastname: Al-Juboori
authors.affiliation: Department of New Media Technology and Arts, Harbin Institute of Technology, Harbin 150001, China.
authors.forename: Wei
authors.initials: W
authors.lastname: Bu
authors.affiliation: School of Computer Science and Technology, Harbin Institute of Technology, Harbin 150001, China.
authors.forename: Xiangqian
authors.initials: X
authors.lastname: Wu
authors.affiliation: School of Computer Science and Technology, Harbin Institute of Technology, Harbin 150001, China.
authors.forename: Qiushi
authors.initials: Q
authors.lastname: Zhao
mesh_terms: D001699:Biometry; D006225:Hand / Q000098:blood supply*; D006801:Humans; D014680:Veins / Q000033:anatomy & histology*