Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/44095
Title: Low cost multimodal biometric identification system based on hand geometry, palm and finger print texture
Authors: Ferrer, Miguel A. 
Morales, Aythami
Travieso, Carlos M. 
Alonso, Jesús B. 
UNESCO Clasification: 3307 Tecnología electrónica
Keywords: Costs , Biometrics , Geometry , Fingers , Humans , Image resolution , Support vector machines , Encoding , Robustness , Hamming distance , Biometrics , hand identification system , data fusion , Classification and Recognition
Issue Date: 2007
Journal: Proceedings - International Carnahan Conference on Security Technology 
Conference: 2007 41st Annual IEEE Carnahan Conference on Security Technology, ICCST 
Abstract: This paper presents a multimodal biometric identification system based on the combination of geometrical, palm and finger 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 and finger texture are obtained by means of different 20 Gabor phase encoding schemes. A robust coordinate system is defined to assure the image alignment. A Hamming distance and threshold are used for verifying the identity. A feature, score and decision level fusion results have shown the improvement of the combined scheme.
URI: http://hdl.handle.net/10553/44095
ISBN: 1424411297
9781424411290
ISSN: 1071-6572
DOI: 10.1109/CCST.2007.4373467
Source: Proceedings - International Carnahan Conference on Security Technology[ISSN 1071-6572] (4373467), p. 52-58
Appears in Collections:Actas de congresos
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