Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/44098
Title: Multimodal biometric system based on hand geometry and palm print texture
Authors: Ferrer, Miguel A. 
Travieso, Carlos M. 
Alonso, Jesús B. 
UNESCO Clasification: 3307 Tecnología electrónica
Keywords: Biometrics , Geometry , Fingers , Fingerprint recognition , Humans , Support vector machines , Access control , Feature extraction , Geometrical optics , Shape measurement , Biometrics , hand identification system , data fusion , Classification and Recognition
Issue Date: 2006
Publisher: 1071-6572
Journal: Proceedings - International Carnahan Conference on Security Technology 
Conference: 40th Annual IEEE International Carnahan Conference on Security Technology 
2006 40th Annual IEEE International Carnahan Conference on Security Technology, ICCST 
Abstract: This paper presents a multimodal biometric identification system based on the geometrical and palm print features of the human hand. The right hand images are acquired by a commercial scanner with a 150 dpi resolution. The geometrical features are obtained from the binarized images and consist on 15 measures. A support vector machines is used as verifier. The palm print texture is obtained by means of a 2D Gabor phase encoding scheme. A robust coordinate system is defined to make easier the image alignment. A Hamming distance and threshold are used for verifying the identity. A score and decision level fusion results have shown the improvement of the combined scheme.
URI: http://hdl.handle.net/10553/44098
ISBN: 1-4244-0174-7
9781424401741
ISSN: 1071-6572
DOI: 10.1109/CCST.2006.313435
Source: Proceedings - International Carnahan Conference on Security Technology[ISSN 1071-6572] (4105322), p. 92-97
Appears in Collections:Actas de congresos
Show full item record

SCOPUSTM   
Citations

7
checked on Feb 28, 2021

WEB OF SCIENCETM
Citations

5
checked on Feb 28, 2021

Page view(s)

26
checked on Mar 1, 2021

Google ScholarTM

Check

Altmetric


Share



Export metadata



Items in accedaCRIS are protected by copyright, with all rights reserved, unless otherwise indicated.