• DocumentCode
    2395420
  • Title

    Fast algorithm and application of Hough transform in iris segmentation

  • Author

    Qi-Chuan Tian ; Pan, Quan ; Cheng, Yong-mei ; Gao, Quan-xue

  • Author_Institution
    Sch. of Autom. Control, Northwestern Polytech. Univ., Xi´´an, China
  • Volume
    7
  • fYear
    2004
  • fDate
    26-29 Aug. 2004
  • Firstpage
    3977
  • Abstract
    Hough transform is a common algorithm used to detect geometry shape of objects in computer image processing, some points satisfied lines, circles and other curves can be detected easily by using Hough transform in image. In iris recognition system, both the inner boundary and the outer boundary of a typical iris can approximately be taken as circles, so the two circles of iris can be obtained by using Hough transform. In this paper, Hough transform algorithm is introduced and is adopted in iris segmentation. A modified fast algorithm is presented to solving low speed of Hough transform. Simulations and research results show that Hough transforms are satisfied in iris segmentation.
  • Keywords
    Hough transforms; biometrics (access control); computer vision; image recognition; image segmentation; object detection; Hough transform algorithm; computer image processing; geometry shape detection; iris recognition system; iris segmentation; modified fast algorithm; object detection; personal identity verification; Automatic control; Image edge detection; Image segmentation; Iris recognition; Machinery; Noise shaping; Object detection; Pixel; Shape; Transforms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2004. Proceedings of 2004 International Conference on
  • Print_ISBN
    0-7803-8403-2
  • Type

    conf

  • DOI
    10.1109/ICMLC.2004.1384533
  • Filename
    1384533