• DocumentCode
    2559506
  • Title

    Efficient iris recognition method for identification

  • Author

    Garg, Rajat ; Gupta, Vikrant ; Agrawal, Vineet

  • Author_Institution
    Dept. of Electron. & Commun., VIT- Univ., Vellore, India
  • fYear
    2009
  • fDate
    12-14 Oct. 2009
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    In recent times the security has become a major issue of concern among the people. There is multifold increase in the installation and deployment of security services around the world. The threat starts when an unwanted person tries to obtain access to any place or value. In such a scenario the correct identification of the person is necessary so as to restrict the unidentified people from gaining access. Biometric details of a person offer the possibility of identifying the person very accurately. Iris identification is one such technique. This paper presents two different approaches for iris identification viz. template matching and average value method. Both the methods were tested on variety of images from the available database.Template matching is done using NI Vision Assistant 7.1 and NI LabVIEW 7.1. MATLAB 7.4 was used to implement average value method.
  • Keywords
    biometrics (access control); image matching; image recognition; security of data; MATLAB 7.4; NI LabVIEW 7.1; NI Vision Assistant 7.1; average value method; biometric; iris recognition method; security services; template matching; Biometrics; Flowcharts; Image databases; Image processing; Iris recognition; MATLAB; Pattern matching; Security; Testing; Waveguide discontinuities; Least distance method; Otsu´s rule; Pattern matching; biometrical control systems; image processing; iris recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Ultra Modern Telecommunications & Workshops, 2009. ICUMT '09. International Conference on
  • Conference_Location
    St. Petersburg
  • Print_ISBN
    978-1-4244-3942-3
  • Electronic_ISBN
    978-1-4244-3941-6
  • Type

    conf

  • DOI
    10.1109/ICUMT.2009.5345476
  • Filename
    5345476