• DocumentCode
    1639972
  • Title

    Geometric Centroids and their Relative Distances for Off-line Signature Verification

  • Author

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

  • Author_Institution
    Dept. of Studies in Comput. Sci., Univ. of Mysore, Mysore, India
  • fYear
    2009
  • Firstpage
    121
  • Lastpage
    125
  • Abstract
    In this paper, we propose a new approach for symbolic representation of off-line signatures based on relative distances between centroids useful for verification. Distances between centroids 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. We cluster similar signatures in each class and also investigate the cluster based symbolic representation for signature verification. 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; feature extraction; fuzzy set theory; handwriting recognition; image recognition; pattern clustering; MCYT signature database; fuzzy c means clustering; geometric centroid; interval valued symbolic feature vector representation; off-line signature verification; relative distance; Computer science; Handwriting recognition; Hidden Markov models; Pattern matching; Pattern recognition; Shape; Spatial databases; Support vector machines; Testing; Text analysis; Fuzzy c means clustering; Off-line signature verification; Relative distance between Geometric centroid; Symbolic feature vector;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Document Analysis and Recognition, 2009. ICDAR '09. 10th International Conference on
  • Conference_Location
    Barcelona
  • ISSN
    1520-5363
  • Print_ISBN
    978-1-4244-4500-4
  • Electronic_ISBN
    1520-5363
  • Type

    conf

  • DOI
    10.1109/ICDAR.2009.67
  • Filename
    5277765