L.E. Martinez, C. Travieso, J. B. Alonso, M. Ferrer
{"title":"Parameterization of a forgery handwritten signature verification system using SVM","authors":"L.E. Martinez, C. Travieso, J. B. Alonso, M. Ferrer","doi":"10.1109/CCST.2004.1405391","DOIUrl":null,"url":null,"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.","PeriodicalId":329160,"journal":{"name":"38th Annual 2004 International Carnahan Conference on Security Technology, 2004.","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2004-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"42","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"38th Annual 2004 International Carnahan Conference on Security Technology, 2004.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCST.2004.1405391","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 42
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.