Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/44100
Title: Using hand knuckle texture for biometric identifications
Authors: Ferrer, Miguel A. 
Travieso, Carlos M. 
Alonso, Jesus B. 
UNESCO Clasification: 3307 Tecnología electrónica
Keywords: Biometrics , Fingers , Geometry , Glass , Image sensors , Sensor systems , Employment , Image segmentation , Authentication , Thumb
Issue Date: 2006
Publisher: 0885-8985
Journal: IEEE Aerospace and Electronic Systems Magazine 
Abstract: A proposed 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 features. A hidden Markov model and a support vector machine are proposed as verifiers. A similar equal error We of 0.094 is reached by both classifiers with our preliminary database consisting of 8 samples of 20 people's hands.
URI: http://hdl.handle.net/10553/44100
ISSN: 0885-8985
DOI: 10.1109/MAES.2006.1662005
Source: Ieee Aerospace And Electronic Systems Magazine[ISSN 0885-8985],v. 21 (6), p. 23-27
Appears in Collections:Artículos
Show full item record

Google ScholarTM

Check

Altmetric


Share



Export metadata



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