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https://accedacris.ulpgc.es/handle/10553/44112
| Título: | Parameterization of a forgery handwritten signature verification system using SVM | Autores/as: | Martínez, Luis E. Travieso, Carlos M. Alonso, Jesús B. Ferrer, Miguel A. |
Clasificación UNESCO: | 3307 Tecnología electrónica | Palabras clave: | Forgery , Handwriting recognition , Support vector machines , Support vector machine classification , Image databases , Coordinate measuring machines , Biomedical imaging , Medical control systems , Control systems , Business | Fecha de publicación: | 2004 | Editor/a: | 1071-6572 | Publicación seriada: | Proceedings - International Carnahan Conference on Security Technology | Conferencia: | 38th Annual International Carnahan Conference on Security Technology Proceedings - IEEE 38th Annual 2004 International Carnahan Conference on Security Technology |
Resumen: | A new method for off-line handwritten signature verification is described in this paper. It is compared with four different parameterization techniques using support vector machines (SVM) as a classification system. The results show which one is the most suitable parameterization technique for this system | URI: | https://accedacris.ulpgc.es/handle/10553/44112 | ISBN: | 0-7803-8506-3 | ISSN: | 1071-6572 | Fuente: | Proceedings - International Carnahan Conference on Security Technology[ISSN 1071-6572], p. 193-196 |
| Colección: | Actas de congresos |
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