• DocumentCode
    1644776
  • Title

    An effective iris recognition system for identification of humans

  • Author

    Khan, Muhaminad Khurrarn ; Zhang, Jiashu ; Horng, Shi-Jinn

  • Author_Institution
    Res. Group for Biometrics, Southwest Jiaotong Univ., Chengdu, China
  • fYear
    2004
  • Firstpage
    114
  • Lastpage
    117
  • Abstract
    In this paper, identification and verification approach based on human iris pattern is presented. The system is based on several steps from capturing the iris pattern, determining and localizing the iris boundaries, transformation of localized iris into rectangular and polar components, extracting the features from the image, based on wavelet transformation and at the end the matching of the iris. Matching is based on calculating the hamming codes of different irises. The algorithms used in this research are computationally effective, reliable, robust, and meet the industry standards in an efficient and effective manner. The accuracy of the presented work shows that our system is ideal for human recognition at high security places.
  • Keywords
    Hamming codes; biometrics (access control); eye; feature extraction; image recognition; wavelet transforms; feature extraction; hamming codes; human identification; human recognition; iris recognition system; wavelet transformation; Authentication; Biometrics; Computer science; Fingerprint recognition; Government; Humans; Information security; Iris recognition; Pins; Read only memory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multitopic Conference, 2004. Proceedings of INMIC 2004. 8th International
  • Print_ISBN
    0-7803-8680-9
  • Type

    conf

  • DOI
    10.1109/INMIC.2004.1492856
  • Filename
    1492856