• DocumentCode
    2609502
  • Title

    Iris Recognition Algorithm Using Modified Log-Gabor Filters

  • Author

    Yao, Peng ; Li, Jun ; Ye, Xueyi ; Zhuang, Zhenquan ; Li, Bin

  • Author_Institution
    Dept. of Electron. Sci. & Technol., Univ. of Scientist & Technol. of China
  • Volume
    4
  • fYear
    0
  • fDate
    0-0 0
  • Firstpage
    461
  • Lastpage
    464
  • Abstract
    In this paper, we presented an iris recognition algorithm based on modified Log-Gabor filters. The algorithm is similar as the method proposed by Daugman in general procedure while modified Log-Gabor filters are adopted to extract the iris phase information instead of complex Gabor filters used in Daugman´s method. The advantage of Log-Gabor filters over complex Gabor filters is the former are strictly bandpass filters and the latter are not. The property of strictly bandpass makes the Log-Gabor filters more suitable to extract the iris phase features regardless of the background brightness. The comparison experiments between complex Gabor filters based methods and the proposed method are also presented in this paper
  • Keywords
    Gabor filters; eye; feature extraction; image recognition; Gabor filters; iris phase features extraction; iris recognition; modified Log-Gabor filters; Band pass filters; Biometrics; Brightness; Data mining; Fingerprint recognition; Gabor filters; Hamming distance; Information filtering; Information filters; Iris recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 2006. ICPR 2006. 18th International Conference on
  • Conference_Location
    Hong Kong
  • ISSN
    1051-4651
  • Print_ISBN
    0-7695-2521-0
  • Type

    conf

  • DOI
    10.1109/ICPR.2006.726
  • Filename
    1699878