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 |
SCOPUSTM
Citations
10
checked on Dec 1, 2024
WEB OF SCIENCETM
Citations
6
checked on Feb 25, 2024
Page view(s)
90
checked on Jul 27, 2024
Google ScholarTM
Check
Altmetric
Share
Export metadata
Items in accedaCRIS are protected by copyright, with all rights reserved, unless otherwise indicated.