title: Finger vein recognition using local line binary pattern.
abstract: In this paper, a personal verification method using finger vein is presented. Finger vein can be considered more secured compared to other hands based biometric traits such as fingerprint and palm print because the features are inside the human body. In the proposed method, a new texture descriptor called local line binary pattern (LLBP) is utilized as feature extraction technique. The neighbourhood shape in LLBP is a straight line, unlike in local binary pattern (LBP) which is a square shape. Experimental results show that the proposed method using LLBP has better performance than the previous methods using LBP and local derivative pattern (LDP).
authors.affiliation: Intelligent Biometric Group, School of Electrical & Electronic Engineering, USM Engineering Campus, Universiti Sains Malaysia, 14300 Nibong Tebal, Seberang Perai Selatan, Pulau Pinang, Malaysia. eebakhtiar@eng.usm.my
authors.forename: Bakhtiar Affendi
authors.initials: BA
authors.lastname: Rosdi
authors.forename: Chai Wuh
authors.initials: CW
authors.lastname: Shing
authors.forename: Shahrel Azmin
authors.initials: SA
authors.lastname: Suandi
mesh_terms: D001699:Biometry; D005385:Fingers / Q000098:blood supply*; D006801:Humans; D014680:Veins / Q000502:physiology*