• DocumentCode
    2050711
  • Title

    A survey on prominent iris recognition systems

  • Author

    George, A.M. ; Durai, C.A.D.

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Karunya Univ., Coimbatore, India
  • fYear
    2013
  • fDate
    21-22 Feb. 2013
  • Firstpage
    191
  • Lastpage
    195
  • Abstract
    Biometric identification system is used for the automatic identification of an individual based on the unique characteristics or features possessed by an individual. Many Biometric Technologies are available today. Iris Recognition System is the most reliable and accurate Biometric identification system available. Iris Recognition is the identification of an individual based on iris features. In the past few years many methods are used to improve the performance of iris recognition systems. These methods mainly focused on the robustness, accuracy and rapidity of iris recognition systems. The purpose of this technical report is for comparing different iris recognition systems based on their performance.
  • Keywords
    feature extraction; iris recognition; automatic characteristic identification; automatic feature identification; biometric identification system; biometric technologies; iris recognition systems; Accuracy; Discrete cosine transforms; Eyelashes; Feature extraction; Gabor filters; Iris recognition; Robustness; Accuracy; Biometric Technology; Features; Iris Recognition System; Rapidity; Robustness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Communication and Embedded Systems (ICICES), 2013 International Conference on
  • Conference_Location
    Chennai
  • Print_ISBN
    978-1-4673-5786-9
  • Type

    conf

  • DOI
    10.1109/ICICES.2013.6508207
  • Filename
    6508207