• DocumentCode
    2123849
  • Title

    Improved identification of iris and eyelash features

  • Author

    Youmaran, Richard ; Xie, L.P. ; Adler, Andy

  • Author_Institution
    Carleton Univ., Ottawa, ON
  • fYear
    2008
  • fDate
    24-26 June 2008
  • Firstpage
    387
  • Lastpage
    390
  • Abstract
    This paper proposes a novel algorithm to improve localization and segmentation of an iris image. Since in many practical applications, user cooperation is not possible, eyelash occlusion can seriously affect the performance of an iris recognition system. This paper discusses a robust method for accurate localization and segmentation of the exact iris region without eyelash occlusion. Our algorithm uses a logarithmic image enhancement technique and the Hough transform for iris localization as well as an intensity gradient based method for eyelash detection using local region statistics of the image. Experimental results show the accuracy of our algorithm leading to exact iris region segmentation.
  • Keywords
    Hough transforms; biometrics (access control); image enhancement; image recognition; image segmentation; Hough transform; eyelash detection; eyelash features; eyelash occlusion; iris identification; iris image localization; iris image segmentation; iris recognition system; local region statistics; logarithmic image enhancement technique; Eyelashes; Image enhancement; Image segmentation; Iris recognition; Lighting; Phase detection; Pixel; Security; Statistics; Surveillance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications, 2008 24th Biennial Symposium on
  • Conference_Location
    Kingston, ON
  • Print_ISBN
    978-1-4244-1945-6
  • Electronic_ISBN
    978-1-4244-1946-3
  • Type

    conf

  • DOI
    10.1109/BSC.2008.4563282
  • Filename
    4563282