• DocumentCode
    2119143
  • Title

    Hybrid fusion for biometrics: Combining score-level and decision-level fusion

  • Author

    Tao, Qian ; Veldhuis, Raymond

  • Author_Institution
    Signals & Syst. Group, Univ. of Twente Postbus 217, Enschede
  • fYear
    2008
  • fDate
    23-28 June 2008
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    A general framework of fusion at decision level, which works on ROCs instead of matching scores, is investigated. Under this framework, we further propose a hybrid fusion method, which combines the score-level and decision-level fusions, taking advantage of both fusion modes. The hybrid fusion adaptively tunes itself between the two levels of fusion, and improves the final performance over the original two levels. The proposed hybrid fusion is simple and effective for combining different biometrics.
  • Keywords
    biometrics (access control); image fusion; image recognition; sensitivity analysis; statistical distributions; ROC; biometric system; decision-level fusion; hybrid fusion method; matching score distribution; personal identity verification; score-level fusion; Bioinformatics; Biometrics; Biosensors; Data mining; Degradation; Error analysis; Information security; Robustness; Sensor fusion; Sensor systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition Workshops, 2008. CVPRW '08. IEEE Computer Society Conference on
  • Conference_Location
    Anchorage, AK
  • ISSN
    2160-7508
  • Print_ISBN
    978-1-4244-2339-2
  • Electronic_ISBN
    2160-7508
  • Type

    conf

  • DOI
    10.1109/CVPRW.2008.4563106
  • Filename
    4563106