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http://hdl.handle.net/10553/44098
| Título: | Multimodal biometric system based on hand geometry and palm print texture | Autores/as: | Ferrer, Miguel A. Travieso, Carlos M. Alonso, Jesús B. |
Clasificación UNESCO: | 3307 Tecnología electrónica | Palabras clave: | 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 | Fecha de publicación: | 2006 | Editor/a: | 1071-6572 | Publicación seriada: | Proceedings - International Carnahan Conference on Security Technology | Conferencia: | 40th Annual IEEE International Carnahan Conference on Security Technology 2006 40th Annual IEEE International Carnahan Conference on Security Technology, ICCST |
Resumen: | 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 | Fuente: | Proceedings - International Carnahan Conference on Security Technology[ISSN 1071-6572] (4105322), p. 92-97 |
| Colección: | Actas de congresos |
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