Identificador persistente para citar o vincular este elemento:
http://hdl.handle.net/10553/44021
| 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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