• DocumentCode
    1874010
  • Title

    Efficient iris segmentation based on converting iris images to high dynamic range images

  • Author

    Harifi, Sasan ; Bastanfard, Azam

  • Author_Institution
    Fac. of Electr., Comput. & IT Eng., Islamic Azad Univ., Qazvin, Iran
  • fYear
    2015
  • fDate
    21-23 April 2015
  • Firstpage
    115
  • Lastpage
    119
  • Abstract
    Iris segmentation plays a very vital role for iris recognition. In the meantime, high quality image with many details has important role in segmentation. Using High Dynamic Range technique, image details can be increased. In this paper, using converting iris images into HDR iris images, segmentation operation is performed. Images are changed to different exposure manually, then are combined and produced HDR image. HDR images and normal images are tested and compared separately with available segmentation methods. Experiment results show that, the proposed method can segment iris images accurately and can be used for different types of iris images.
  • Keywords
    image segmentation; iris recognition; HDR iris images; high dynamic range images; iris recognition; iris segmentation; Dynamic range; Image segmentation; Iris; Iris recognition; Object segmentation; HDR images; High Dynamic Range; Identification; Iris; Iris Recognition; Segmentation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computing Technology and Information Management (ICCTIM), 2015 Second International Conference on
  • Conference_Location
    Johor
  • Print_ISBN
    978-1-4799-6210-5
  • Type

    conf

  • DOI
    10.1109/ICCTIM.2015.7224603
  • Filename
    7224603