• DocumentCode
    2599130
  • Title

    A New Off-line Signature Verification Method based on Graph

  • Author

    Chen, Siyuan ; Srihari, Sargur

  • Author_Institution
    Center of Excellence for Document Anal. & Recognition, Buffalo Univ., NY
  • Volume
    2
  • fYear
    0
  • fDate
    0-0 0
  • Firstpage
    869
  • Lastpage
    872
  • Abstract
    A graph matching approach to off-line signature verification is presented. Each of the signature images being compared is represented as a point set, which includes the local extremas of various types along the signature contours. Graph matching involves a deformation measure and a mapping function between point sets. Multiresolution signature features, as computed by gradient, structural and concavity features are used to measure local correspondence. Deformation and similarity scores are combined to make the final decision. The method performs better than previous off-line methods and is comparable to that of on-line systems
  • Keywords
    graph theory; handwriting recognition; image matching; image resolution; concavity features; deformation measure; gradient features; graph matching; mapping function; multiresolution signature features; offline signature verification; signature contours; signature images; structural features; Algorithm design and analysis; Biometrics; Forensics; Handwriting recognition; Image databases; Image edge detection; Joining processes; Shape measurement; Spline; Text analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 2006. ICPR 2006. 18th International Conference on
  • Conference_Location
    Hong Kong
  • ISSN
    1051-4651
  • Print_ISBN
    0-7695-2521-0
  • Type

    conf

  • DOI
    10.1109/ICPR.2006.125
  • Filename
    1699343