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

Finger Vein Recognition Using Local Line Binary Pattern

Intelligent Biometric Group, School of Electrical & Electronic Engineering, USM Engineering Campus, Universiti Sains Malaysia, 14300 Nibong Tebal, Seberang Perai Selatan, Pulau Pinang, Malaysia
* Author to whom correspondence should be addressed.
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)
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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

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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.

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