Sensors 2011, 11(12), 11357-11371; doi:10.3390/s111211357

Finger Vein Recognition Using Local Line Binary Pattern

* email, email and email
Received: 1 November 2011; in revised form: 28 November 2011 / Accepted: 29 November 2011 / Published: 30 November 2011
(This article belongs to the Special Issue Hand-Based Biometrics Sensors and Systems)
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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).
Keywords: finger vein; local binary pattern; local line binary pattern; local derivative pattern; biometrics; hand-based biometrics
PDF Full-text Download PDF Full-Text [6283 KB, uploaded 21 June 2014 04:09 CEST]

Export to BibTeX |

MDPI and ACS Style

Rosdi, B.A.; Shing, C.W.; Suandi, S.A. Finger Vein Recognition Using Local Line Binary Pattern. Sensors 2011, 11, 11357-11371.

AMA Style

Rosdi BA, Shing CW, Suandi SA. Finger Vein Recognition Using Local Line Binary Pattern. Sensors. 2011; 11(12):11357-11371.

Chicago/Turabian Style

Rosdi, Bakhtiar Affendi; Shing, Chai Wuh; Suandi, Shahrel Azmin. 2011. "Finger Vein Recognition Using Local Line Binary Pattern." Sensors 11, no. 12: 11357-11371.

Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert