Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/44107
Title: Using hand knuckle texture for biometric identification
Authors: Ferrer, Miguel A. 
Traviesa, Carlos M. 
Alonso, Jesús B. 
UNESCO Clasification: 3307 Tecnología electrónica
Keywords: Biometrics , Application software , Geometry , Temperature sensors , Access control , Fingerprint recognition , Geometrical optics , Shape measurement , Voting , Digital images
Issue Date: 2005
Publisher: 1071-6572
Journal: Proceedings - International Carnahan Conference on Security Technology 
Conference: 39th Annual International Carnahan Conference on Security Technology 
39th Annual 2005 International Carnahan Conference on Security Technology, CCST'05 
Abstract: In this paper is proposed a first approach of a novel and simple biometric verification system based on the texture of the hand knuckles. A knuckle image with scale, rotation and translation invariance is isolated from the hand recorded image with digital image processing techniques. The wrinkle of the knuckle images are extracted to a black and white image which is used as biometric feature. A hidden Markov model and a support vector machine are proposed as verifiers. A similar equal error rate of 0.094 is reached by both classifiers with our preliminary database consisting of 8 samples of 20 people hand.
URI: http://hdl.handle.net/10553/44107
ISBN: 0-7803-9245-0
9780780392458
ISSN: 1071-6572
Source: Proceedings - International Carnahan Conference on Security Technology[ISSN 1071-6572] (1594835)
Appears in Collections:Actas de congresos
Show full item record

SCOPUSTM   
Citations

7
checked on Feb 28, 2021

WEB OF SCIENCETM
Citations

5
checked on Feb 28, 2021

Page view(s)

21
checked on Mar 1, 2021

Google ScholarTM

Check

Altmetric


Share



Export metadata



Items in accedaCRIS are protected by copyright, with all rights reserved, unless otherwise indicated.