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http://hdl.handle.net/10553/44076
| Título: | Hand geometry identification system performance | Autores/as: | Ferrer Ballester, Miguel Ángel Fàbregas, Joan Faundez, Marcos Alonso, Jesús B. Travieso, Carlos |
Clasificación UNESCO: | 3307 Tecnología electrónica | Palabras clave: | Geometry , System performance , Image resolution , Image databases , Spatial databases , Biometrics , Image analysis , Robustness , Data analysis , Support vector machines , component , Hand-geometry , resolution , biometrics , neural networks | Fecha de publicación: | 2009 | Editor/a: | 1071-6572 | Publicación seriada: | Proceedings - International Carnahan Conference on Security Technology | Conferencia: | 43rd Annual 2009 International Carnahan Conference on Security Technology, ICCST 2009 | Resumen: | The effect of changing the image resolution over a biometric system based on hand geometry is analyzed in this paper. Image resolution is progressively diminished from an initial 120 dpi resolution up to 24 dpi. The robustness of the examined system is analyzed with 2 databases and two identifiers. The first database acquires the images of the hand underneath whereas the second database acquires the images over the hand. The first classifier identifies with a multiclass support vector machine whereas the second classifier identifies with a neural network with error correction output codes. The four experiments show that an image resolution of 72 dpi offers a good trade-off between performance and image resolution for the 15 geometric features used. | URI: | http://hdl.handle.net/10553/44076 | ISBN: | 9781424441709 | ISSN: | 1071-6572 | DOI: | 10.1109/CCST.2009.5335545 | Fuente: | Proceedings - International Carnahan Conference on Security Technology[ISSN 1071-6572] (5335545), p. 167-171 |
| Colección: | Actas de congresos |
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