• DocumentCode
    1838779
  • Title

    Enhancing iris recognition system performance

  • Author

    Desoky, Aly I. ; Ali, Hesham A. ; Abdel-Hamid, Nahla B.

  • Author_Institution
    Dept of Comput. Sci., Mansoura Univ., Mansoura, Egypt
  • fYear
    2010
  • fDate
    Nov. 30 2010-Dec. 2 2010
  • Firstpage
    21
  • Lastpage
    26
  • Abstract
    Biometrics has become more and more important in security applications. In comparison with many other biometrie features, iris recognition has very high recognition accuracy. Successful iris recognition matching depends on how similar the stored template in database is compared with the introduced template. The main objective of this paper is to introduce a high performance scheme for iris recognition system in which a set of iris images of a given eye are fused to generate a final template. This will not only reduce the storage capacity requirements but also enhance the system´s speed during the matching process. The performance of both the proposed algorithm and the overall system will be assessed.
  • Keywords
    feature extraction; image matching; iris recognition; biometric feature; biometrics; iris image; iris recognition system; matching process; recognition matching; Databases; Hamming distance; High definition video; Image segmentation; Iris; Iris recognition; Noise; Biometrie authentication; Iris recognition; features extraction; performance management; template matching;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Engineering and Systems (ICCES), 2010 International Conference on
  • Conference_Location
    Cairo
  • Print_ISBN
    978-1-4244-7040-2
  • Type

    conf

  • DOI
    10.1109/ICCES.2010.5674902
  • Filename
    5674902