• DocumentCode
    2703746
  • Title

    Trends in Iris Recognition Algorithms

  • Author

    Bansal, Atul ; Agarwal, Ravinder ; Sharma, R.K.

  • Author_Institution
    G.LA. Inst. of Technol. & Manage., Mathura, India
  • fYear
    2010
  • fDate
    26-28 May 2010
  • Firstpage
    337
  • Lastpage
    340
  • Abstract
    Authentication of persons using machine has always been a very attractive problem. Biometric systems for authentication based on human characteristics such as face, finger, voice and iris is becoming the prominent research area. Iris recognition among these is considered the most accurate and reliable biometric identification system. Iris recognition system finds application in the various security systems including at airports, confidential sections at laboratories and offices, A number ATM machines etc. researchers have proposed various algorithms based on different feature extraction techniques. In this paper, various algorithms in the different stages of iris recognition along with feature extractions have been reviewed. A template matching technique namely supporting vector machine is also analyzed for iris recognition.
  • Keywords
    Airports; Authentication; Biometrics; Face; Feature extraction; Fingers; Humans; Iris recognition; Laboratories; Security;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mathematical/Analytical Modelling and Computer Simulation (AMS), 2010 Fourth Asia International Conference on
  • Conference_Location
    Kota Kinabalu, Malaysia
  • Print_ISBN
    978-1-4244-7196-6
  • Type

    conf

  • DOI
    10.1109/AMS.2010.74
  • Filename
    5489178