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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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