• DocumentCode
    2922065
  • Title

    A review of iris recognition algorithms

  • Author

    Ng, Richard Yew Fatt ; Tay, Ng Yong Haur ; Mok, Kai Ming

  • Author_Institution
    Computer Vision and Intelligent Systems (CVIS) Group, Universiti Tunku Abdul Rahman, Malaysia
  • Volume
    2
  • fYear
    2008
  • fDate
    26-28 Aug. 2008
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    Iris recognition has become a popular research in recent years. Due to its reliability and nearly perfect recognition rates, iris recognition is used in high security areas. Among its applications are border control in airports and harbors, access control in laboratories and factories, identification for Automatic Teller Machines (ATMs) and restricted access to police evidence rooms. This paper provides a review of major iris recognition researches. There are three main stages in iris recognition system: image preprocessing, feature extraction and template matching. A literature review of the most prominent algorithms implemented in each stage is presented.
  • Keywords
    Active contours; Biometrics; Eyelids; Feature extraction; Image analysis; Image edge detection; Image enhancement; Image resolution; Iris recognition; Voting;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Technology, 2008. ITSim 2008. International Symposium on
  • Conference_Location
    Kuala Lumpur, Malaysia
  • Print_ISBN
    978-1-4244-2327-9
  • Electronic_ISBN
    978-1-4244-2328-6
  • Type

    conf

  • DOI
    10.1109/ITSIM.2008.4631656
  • Filename
    4631656