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
Vista completa

Visitas

37
actualizado el 16-mar-2024

Google ScholarTM

Verifica

Altmetric


Comparte



Exporta metadatos



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