• DocumentCode
    177998
  • Title

    Iris Segmentation System Based on Approximate Feature Detection with Subsequent Refinements

  • Author

    Matveev, I. ; Gankin, K.

  • Author_Institution
    Comput. Centre, Russian Acad. of Sci., Moscow, Russia
  • fYear
    2014
  • fDate
    24-28 Aug. 2014
  • Firstpage
    1704
  • Lastpage
    1709
  • Abstract
    A system of methods for iris region location and segmentation in frontal eye images is presented. Input data are images used in modern iris recognition systems, output contains coordinates of inner and outer iris borders and mask of visible iris region or decision that image does not contain iris of acceptable quality. System processing starts with approximate detection of eye center position followed by approximate detection of inner and outer borders of iris region. If one of the borders is not detected, an additional attempt to locate it is performed with the help of alternative methods. Finally precise borders are detected at last steps of processing by specially designed method.
  • Keywords
    feature extraction; image segmentation; iris recognition; approximate feature detection; eye center position; frontal eye images; inner iris borders; iris region location; modern iris recognition systems; outer iris borders; subsequent refinements; visible iris decision; visible iris region; Approximation algorithms; Approximation methods; Brightness; Feature extraction; Image segmentation; Iris; Iris recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition (ICPR), 2014 22nd International Conference on
  • Conference_Location
    Stockholm
  • ISSN
    1051-4651
  • Type

    conf

  • DOI
    10.1109/ICPR.2014.300
  • Filename
    6977011