Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/44107
Título: Using hand knuckle texture for biometric identification
Autores/as: Ferrer, Miguel A. 
Traviesa, Carlos M. 
Alonso, Jesús B. 
Clasificación UNESCO: 3307 Tecnología electrónica
Palabras clave: Biometrics , Application software , Geometry , Temperature sensors , Access control , Fingerprint recognition , Geometrical optics , Shape measurement , Voting , Digital images
Fecha de publicación: 2005
Editor/a: 1071-6572
Publicación seriada: Proceedings - International Carnahan Conference on Security Technology 
Conferencia: 39th Annual International Carnahan Conference on Security Technology 
39th Annual 2005 International Carnahan Conference on Security Technology, CCST'05 
Resumen: 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
Fuente: Proceedings - International Carnahan Conference on Security Technology[ISSN 1071-6572] (1594835)
Colección:Actas de congresos
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