Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/44021
Title: Multisampling approach applied to contactless hand biometrics
Authors: Morales, Aythami
Ferrer, Miguel A. 
Travieso, Carlos M. 
Alonso, Jesus B. 
UNESCO Clasification: 3307 Tecnología electrónica
Keywords: feature extraction , palmprint recognition , Biometry , multibiomometric , multisample , contactless , hand , recognition , geometry , palmprint
Issue Date: 2012
Publisher: 1071-6572
Journal: Proceedings - International Carnahan Conference on Security Technology 
Conference: 46th Annual IEEE International Carnahan Conference on Security Technology (ICCST) 
46th Annual 2012 IEEE International Carnahan Conference on Security Technology, ICCST 2012 
Abstract: 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
Source: Proceedings - International Carnahan Conference on Security Technology[ISSN 1071-6572] (6393563), p. 224-229
Appears in Collections:Actas de congresos
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