• DocumentCode
    3380534
  • Title

    Gabor Descriptor based cancelable iris recognition method

  • Author

    Yang, Kai ; Du, Yingzi ; Zhou, Zhi ; Belcher, Craig

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Indiana Univ.-Purdue Univ. Indianapolis, Indianapolis, IN, USA
  • fYear
    2010
  • fDate
    26-29 Sept. 2010
  • Firstpage
    4085
  • Lastpage
    4088
  • Abstract
    For positive human identification, the iris has been shown to be a stable and reliable biometric. However, it is permanently bounded with an individual and its pattern is very hard to reissue when “stolen”. Thus, cancelable biometrics is a desirable solution to ensure the revocability and alternative of an iris template when compromised. The traditional cancelable biometrics approaches often compromise the recognition accuracy. In this paper, we propose a new cancelable iris recognition method using Gabor Descriptor, which can not only achieve “cancelability”, but also increase the recognition accuracy.
  • Keywords
    feature extraction; iris recognition; Gabor descriptor; biometrics; cancelable iris recognition method; positive human identification; Accuracy; Databases; Feature extraction; Gabor filters; Ice; Iris recognition; Pattern matching; cancelable biometrics; iris recognition; security;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2010 17th IEEE International Conference on
  • Conference_Location
    Hong Kong
  • ISSN
    1522-4880
  • Print_ISBN
    978-1-4244-7992-4
  • Electronic_ISBN
    1522-4880
  • Type

    conf

  • DOI
    10.1109/ICIP.2010.5654355
  • Filename
    5654355