Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/44112
Title: Parameterization of a forgery handwritten signature verification system using SVM
Authors: Martínez, Luis E.
Travieso, Carlos M. 
Alonso, Jesús B. 
Ferrer, Miguel A. 
UNESCO Clasification: 3307 Tecnología electrónica
Keywords: Forgery , Handwriting recognition , Support vector machines , Support vector machine classification , Image databases , Coordinate measuring machines , Biomedical imaging , Medical control systems , Control systems , Business
Issue Date: 2004
Publisher: 1071-6572
Journal: Proceedings - International Carnahan Conference on Security Technology 
Conference: 38th Annual International Carnahan Conference on Security Technology 
Proceedings - IEEE 38th Annual 2004 International Carnahan Conference on Security Technology 
Abstract: 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: http://hdl.handle.net/10553/44112
ISBN: 0-7803-8506-3
ISSN: 1071-6572
Source: Proceedings - International Carnahan Conference on Security Technology[ISSN 1071-6572], p. 193-196
Appears in Collections:Actas de congresos
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