Work

Finger Vein Recognition Using Local Line Binary Pattern

Year: 2011

Type: article

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).

Source: Sensors

DOI: 10.3390/s111211357

Authors: Bakhtiar Affendi Rosdi, Chai Wuh Shing, Shahrel Azmin Suandi

Institution: Universiti Sains Malaysia

Language: English

Topic: Biometric Identification and Security

Subfield: Signal Processing

Field: Computer Science

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $3,137

Funder: Universiti Sains Malaysia