• DocumentCode
    3384980
  • Title

    Iris Recognition Using Wavelet

  • Author

    Masood, K. ; Javed, M.Y. ; Basit, A.

  • Author_Institution
    Dept. of Comput. Eng., Nat. Univ. of Sci. & Technol., Rawalpindi
  • fYear
    2007
  • fDate
    12-13 Nov. 2007
  • Firstpage
    253
  • Lastpage
    256
  • Abstract
    Biometric systems are getting more attention in the present era. Iris recognition is one of the most secure and authentic among the other biometrics and this field demands more authentic, reliable and fast algorithms to implement these biometric systems in real time. In this paper, an efficient localization technique is presented to identify pupil and iris boundaries using histogram of the iris image. Two small portions of iris have been used for polar transformation to reduce computational time and to increase the efficiency of the system. Wavelet transform is used for feature vector generation. Rotation of iris is compensated without shifts in the iris code. System is tested on Multimedia University (MMU) Iris Database and results show that proposed system has encouraging performance.
  • Keywords
    biometrics (access control); image recognition; wavelet transforms; biometric systems; feature vector generation; iris recognition; localization technique; polar transformation; wavelet transform; Biometrics; Feature extraction; Histograms; Humans; Image databases; Iris recognition; Multimedia databases; Multimedia systems; Spatial databases; System testing; Biometric; Iris recognition; Wavelet and Histogram analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Emerging Technologies, 2007. ICET 2007. International Conference on
  • Conference_Location
    Islamabad
  • Print_ISBN
    978-1-4244-1493-2
  • Electronic_ISBN
    978-1-4244-1494-9
  • Type

    conf

  • DOI
    10.1109/ICET.2007.4516353
  • Filename
    4516353