• 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