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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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