• DocumentCode
    3543679
  • Title

    Optimal user weighting fusion in DWT domain on-line signature verification

  • Author

    NAKANISHI, Isao ; Sakamoto, Hiroyuki ; Itoh, Yoshio ; Fukui, Yutaka

  • Author_Institution
    Fac. of Regional Sci., Tottori Univ., Japan
  • fYear
    2005
  • fDate
    23-26 May 2005
  • Firstpage
    1698
  • Abstract
    An on-line signature verification method in the DWT domain has been proposed. The time-varying pen-position signal of the on-line signature is decomposed into sub-band signals by using the DWT. Individual features are extracted as high frequency signals in the sub-band. By using the extracted features, verification is achieved at each sub-band and then a total decision is taken by combining such verification results. In this paper, we introduce a user weighting fusion into the total decision. Through verification experiments, it is confirmed that there is an optimal weight combination for each user and the verification rate can be improved when the optimal weight combination is applied.
  • Keywords
    discrete wavelet transforms; feature extraction; handwriting recognition; optimisation; DWT; on-line signature verification; sub-band decomposition; sub-band high frequency signal feature extraction; time-varying pen-position signals; user weighting fusion optimization; verification rate; Adaptive signal processing; Biometrics; Discrete wavelet transforms; Feature extraction; Frequency; Handwriting recognition; Personal digital assistants; Signal processing algorithms; Wavelet domain; Writing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 2005. ISCAS 2005. IEEE International Symposium on
  • Print_ISBN
    0-7803-8834-8
  • Type

    conf

  • DOI
    10.1109/ISCAS.2005.1464933
  • Filename
    1464933