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||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||ISSN:||1071-6572||Source:||Proceedings - International Carnahan Conference on Security Technology[ISSN 1071-6572] (1594835)|
|Appears in Collections:||Actas de congresos|
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