• DocumentCode
    2418039
  • Title

    A new on-line signature verification algorithm using Hilbert Scanning patterns

  • Author

    Ahrary, Alireza ; Kamata, Sei-ichro

  • Author_Institution
    Inf. Production & Syst. Res. Center, Waseda Univ., Kitakyushu, Japan
  • fYear
    2009
  • fDate
    25-28 May 2009
  • Firstpage
    276
  • Lastpage
    279
  • Abstract
    Signature verification is a challenging task, because only a small set of genuine samples can be acquired and usually no forgeries are available in real application. In this paper, we propose a new function-based method with Hilbert scanning patterns for automatic on-line signature verification. The proposed method is compared to other state-of-the-art methods based on the results of the first international signature verification competition (SVC 2004). Experiments are conducted to verify the effectiveness of our method.
  • Keywords
    Hilbert transforms; feature extraction; handwriting recognition; Hilbert scanning pattern; feature extraction; first international signature verification competition; function-based method; image acquisition; on-line signature verification algorithm; Acceleration; Biometrics; Cities and towns; Data mining; Forgery; Handwriting recognition; Hidden Markov models; Production systems; Shape; Writing; Gaussians Mixture Models (GMM); Hilbert Scanning patterns; Signature verification;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Consumer Electronics, 2009. ISCE '09. IEEE 13th International Symposium on
  • Conference_Location
    Kyoto
  • Print_ISBN
    978-1-4244-2975-2
  • Electronic_ISBN
    978-1-4244-2976-9
  • Type

    conf

  • DOI
    10.1109/ISCE.2009.5157062
  • Filename
    5157062