Multisampling approach applied to contactless hand biometrics

Título:	Multisampling approach applied to contactless hand biometrics
Autores/as:	Morales, Aythami Ferrer, Miguel A. Travieso, Carlos M. Alonso, Jesus B.
Clasificación UNESCO:	3307 Tecnología electrónica
Palabras clave:	feature extraction , palmprint recognition , Biometry , multibiomometric , multisample , contactless , hand , recognition , geometry , palmprint
Fecha de publicación:	2012
Editor/a:	1071-6572
Publicación seriada:	Proceedings - International Carnahan Conference on Security Technology
Conferencia:	46th Annual IEEE International Carnahan Conference on Security Technology (ICCST) 46th Annual 2012 IEEE International Carnahan Conference on Security Technology, ICCST 2012
Resumen:	This paper proposes a novel contactless biometrie system for multisampling hand recognition. We include a novel acquisition device for contactless hand recognition and a study about the multi-sample acquisition as a way to improve the performance. Popular features extraction methods for hand geometry and palmprint are studied and a database of 100 people with more than 2000 hand is employed for the experimentation. The results suggest how a multi-sample approach outperforms the traditional single sample approach with improvements around 47% and EER of 0.21%.
URI:	http://hdl.handle.net/10553/44021
ISBN:	9781467348072
ISSN:	1071-6572
DOI:	10.1109/CCST.2012.6393563
Fuente:	Proceedings - International Carnahan Conference on Security Technology[ISSN 1071-6572] (6393563), p. 224-229
Colección:	Actas de congresos

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