L.E. Martinez, C. Travieso, J. B. Alonso, M. Ferrer
{"title":"基于支持向量机的伪造手写签名验证系统参数化","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":"{\"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}","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}
Parameterization of a forgery handwritten signature verification system using SVM
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.