• DocumentCode
    1243168
  • Title

    A New Phase-Correlation-Based Iris Matching for Degraded Images

  • Author

    Krichen, Emine ; Garcia-Salicetti, Sonia ; Dorizzi, Bernadette

  • Author_Institution
    Electron. & Phys. Dept., Inst. TELECOM, Evry
  • Volume
    39
  • Issue
    4
  • fYear
    2009
  • Firstpage
    924
  • Lastpage
    934
  • Abstract
    In this paper, we present a new phase-correlation-based iris matching approach in order to deal with degradations in iris images due to unconstrained acquisition procedures. Our matching system is a fusion of global and local Gabor phase-correlation schemes. The main originality of our local approach is that we do not only consider the correlation peak amplitudes but also their locations in different regions of the images. Results on several degraded databases, namely, the CASIA-BIOSECURE and Iris Challenge Evaluation 2005 databases, show the improvement of our method compared to two available reference systems, Masek and Open Source for Iris (OSRIS), in verification mode.
  • Keywords
    Gabor filters; authorisation; correlation methods; image matching; image recognition; Gabor filter; degraded iris image recognition; iris authentication; phase-correlation-based iris matching approach; unconstrained acquisition procedure; Degraded iris images; Gabor phase; iris verification; local- and global-correlation-based method; Algorithms; Biometry; Databases, Factual; Humans; Image Processing, Computer-Assisted; Iris; Pattern Recognition, Automated;
  • fLanguage
    English
  • Journal_Title
    Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1083-4419
  • Type

    jour

  • DOI
    10.1109/TSMCB.2008.2009770
  • Filename
    4815523