• DocumentCode
    532873
  • Title

    On-line signature verification based on template matching approach and support vector data description

  • Author

    Dong, Liu ; Yun-Jian, Ge ; Xue-Yong, Zhang

  • Author_Institution
    Inst. of Intell. Machines, Chinese Acad. of Sci., Hefei, China
  • Volume
    12
  • fYear
    2010
  • fDate
    22-24 Oct. 2010
  • Abstract
    Automatic on-line signature verification is an intriguing intellectual challenge with wide attention and practical applications. To solve the difficulty of how to choose the verification threshold in signature verification, we present a novel method based on template matching approach and support vector data description (SVDD) in this paper. Investigates the details of the method and examines the validation of features extracted from 3-axis force of pen-tip to writing tablet. The effectiveness of the proposed solution is demonstrated by the experiment..
  • Keywords
    feature extraction; handwriting recognition; features extraction; online signature verification; support vector data description; template matching approach; Dynamics; Feature extraction; Force; Handwriting recognition; Kernel; Support vector machines; Training; 3-axis force; SVDD; Signature verification; template matching;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Application and System Modeling (ICCASM), 2010 International Conference on
  • Conference_Location
    Taiyuan
  • Print_ISBN
    978-1-4244-7235-2
  • Electronic_ISBN
    978-1-4244-7237-6
  • Type

    conf

  • DOI
    10.1109/ICCASM.2010.5622460
  • Filename
    5622460