• DocumentCode
    2726573
  • Title

    Relative Orientations of Geometric Centroids for Off-line Signature Verification

  • Author

    Prakash, H.N. ; Guru, D.S.

  • Author_Institution
    Dept. of Studies in Comput. Sci., Univ. of Mysore, Mysore
  • fYear
    2009
  • fDate
    4-6 Feb. 2009
  • Firstpage
    201
  • Lastpage
    204
  • Abstract
    In this paper, we propose a new approach for symbolic representation of off-line signatures useful for verification. The proposed approach is based on relative orientations of geometric centroids of split portions of signatures. Centroid orientation features of off-line signatures are used to form an interval valued symbolic feature vector for representing signatures. A method of off-line signature verification based on the symbolic representation is presented. We investigate the feasibility of the proposed representation scheme for signature verification on a MCYT_signature database. Unlike other signature verification methods, the proposed method is simple and efficient. Several experiments are conducted to demonstrate the efficacy of the proposed scheme.
  • Keywords
    computational geometry; digital signatures; handwriting recognition; MCYT_signature database; centroid orientation features; geometric centroids; interval valued symbolic feature vector; offline signature verification; Computer science; Handwriting recognition; Hidden Markov models; Neural networks; Pattern matching; Pattern recognition; Shape; Spatial databases; Support vector machines; Testing; Centroid orientation; Geometric centroid; Off-line signature verification; Symbolic feature vector;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advances in Pattern Recognition, 2009. ICAPR '09. Seventh International Conference on
  • Conference_Location
    Kolkata
  • Print_ISBN
    978-1-4244-3335-3
  • Type

    conf

  • DOI
    10.1109/ICAPR.2009.28
  • Filename
    4782774