Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/44057
Title: Intra-modal biometric system using hand-geometry and palmprint texture
Authors: Fuertes, Juan José
Travieso, Carlos M. 
Ferrer, Miguel A. 
Alonso, Jesús B. 
UNESCO Clasification: 3307 Tecnología electrónica
Keywords: Biometrics , hand identification/verification system , data fusion , Pattern Recognition and classification , Fingers
Issue Date: 2010
Publisher: 1071-6572
Journal: Proceedings - International Carnahan Conference on Security Technology 
Conference: 44th Annual 2010 IEEE International Carnahan Conference on Security Technology 
44th Annual 2010 IEEE International Carnahan Conference on Security Technology, ICCST 2010 
Abstract: This paper presents an identification-verification biometric system based on the combination of geometrical and palm-print hand features. It attempts to improve the performance of existing hand-geometry or palm-print systems which no combine both methods. 1440 hand images of 144 people with 10 samples each one have been acquired by a commercial scanner with 150 dpi resolution. 80 widths of fingers are obtained from binarized images. Wavelet transform, 2D Gabor filter and derivative method are used to extract the texture features from gray-scale images. Support Vector Machine (SVM) is the main classifier used as identifier and verifier. A feature, score and decision level fusion is implemented. An accuracy of 99.97% and an EER=0.0032% (Equal Error Rate) shown the final results of our system.
URI: http://hdl.handle.net/10553/44057
ISBN: 9781424474004
ISSN: 1071-6572
DOI: 10.1109/CCST.2010.5678697
Source: Proceedings - International Carnahan Conference on Security Technology[ISSN 1071-6572] (5678697), p. 318-322
Appears in Collections:Actas de congresos
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