• DocumentCode
    2998950
  • Title

    Iris Recognition Using Phase Congruency

  • Author

    Osman, Ziad

  • Author_Institution
    EE Dept., Beirut Arab Univ., Debbieh, Lebanon
  • fYear
    2011
  • fDate
    March 30 2011-April 1 2011
  • Firstpage
    341
  • Lastpage
    344
  • Abstract
    The techniques used in biometrics are diverse depending on which organ is of interest. When dealing with iris recognition some work was previously done. This paper describes a technique for iris recognition using phase congruency. Phase congruency is used to identify the different feature types that are present in the rich iris texture. It provides an illumination and contrast invariant measure of the significance of feature points. In this paper we will demonstrate how to use phase congruency to locate and identify the minutiae of the iris. An Euclidean distance classifier was used for comparison. Results of this method are seen to be of practical use.
  • Keywords
    image texture; iris recognition; Euclidean distance classifier; biometrics; contrast invariant measure; feature types; illumination; iris recognition; iris texture; phase congruency; Feature extraction; Image edge detection; Iris; Iris recognition; Phase measurement; Transforms; Biometrics; Iris Recogniotion; Phase Congruency;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Modelling and Simulation (UKSim), 2011 UkSim 13th International Conference on
  • Conference_Location
    Cambridge
  • Print_ISBN
    978-1-61284-705-4
  • Electronic_ISBN
    978-0-7695-4376-5
  • Type

    conf

  • DOI
    10.1109/UKSIM.2011.71
  • Filename
    5754238