|Title:||Low cost multimodal biometric identification system based on hand geometry, palm and finger print texture||Authors:||Ferrer, Miguel A.
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
|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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