DocumentCode :
2771486
Title :
Parameterization of a forgery handwritten signature verification system using SVM
Author :
Martinez, Luis E. ; Travieso, Carlos M. ; Alonso, Jesus B. ; Ferrer, Miguel A.
Author_Institution :
Dpto. de Senales y Comunicaciones, Univ. de Las Palmas de Gran Canaria, Spain
fYear :
2004
fDate :
11-14 Oct. 2004
Firstpage :
193
Lastpage :
196
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.
Keywords :
digital signatures; handwriting recognition; handwritten character recognition; support vector machines; SVM; classification system; forgery handwritten signature verification system; off-line handwritten signature verification; parameterization techniques; support vector machines; Biomedical imaging; Business; Control systems; Coordinate measuring machines; Forgery; Handwriting recognition; Image databases; Medical control systems; Support vector machine classification; Support vector machines;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Security Technology, 2004. 38th Annual 2004 International Carnahan Conference on
Print_ISBN :
0-7803-8506-3
Type :
conf
DOI :
10.1109/CCST.2004.1405391
Filename :
1405391
Link To Document :
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