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 |
Los elementos en ULPGC accedaCRIS están protegidos por derechos de autor con todos los derechos reservados, a menos que se indique lo contrario.