• DocumentCode
    2781808
  • Title

    An improved iris recognition system based on Gabor filters

  • Author

    Zheng, Hui ; Su, Fei

  • Author_Institution
    Sch. of Inf. & Commun., Beijing Univ. of Posts & Telecommun., Beijing, China
  • fYear
    2009
  • fDate
    6-8 Nov. 2009
  • Firstpage
    823
  • Lastpage
    827
  • Abstract
    An improved iris recognition system based on even symmetry Gabor wavelet is proposed in this paper. In iris image preprocess, an effective segmentation and eyelids occlusion detection approach are introduced. During recognition, only the imaginary part of complex 2-D Gabor filter is used in coding for shorter code length but without affecting the recognition performance. A simple effective filter parameters selection scheme is proposed at the same time. Experimental results on CASIA1.0 and ICE 2005 databases clearly demonstrate that our improved methods can achieve highly accurate iris recognition with a short code length.
  • Keywords
    Gabor filters; image coding; image segmentation; iris recognition; CASIA1.0 databases; Gabor filters; ICE 2005 databases; even symmetry Gabor wavelet; eyelids occlusion detection; filter parameters selection scheme; image coding; image segmentation; iris recognition; short code length; Biometrics; Eyelids; Eyes; Gabor filters; Ice; Image databases; Image matching; Image recognition; Image segmentation; Iris recognition; Gabor Filters; Iris plane; Iris preprocess; Iris recognition; Matching; Occlusion;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Network Infrastructure and Digital Content, 2009. IC-NIDC 2009. IEEE International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-4898-2
  • Electronic_ISBN
    978-1-4244-4900-6
  • Type

    conf

  • DOI
    10.1109/ICNIDC.2009.5360867
  • Filename
    5360867