• DocumentCode
    1952127
  • Title

    Iris localization using colour segmentation and circular Hough transform

  • Author

    Jalil, Nurhanafifi Abd ; Sahak, R. ; Saparon, Azilah

  • Author_Institution
    Fac. of Electr. Eng., Univ. Teknol. MARA, Shah Alam, Malaysia
  • fYear
    2012
  • fDate
    17-19 Dec. 2012
  • Firstpage
    784
  • Lastpage
    788
  • Abstract
    This paper presents the enhancement technique of iris localization using circular Hough transform and colour segmentation. Circular Hough transform localized the inner and outer boundaries of the iris using images from each colour channels namely; R, G and B and H, S and V. Combination of the colour channels was also experimented. The experiments were conducted on the iris images obtained from healthy women free from Human Papilloma Virus (HPV). The result from the enhancement technique shows that when images of gray scale and combination of S and V channels are used, both outer and inner boundaries of the irises able to achieve 100% correct localization.
  • Keywords
    Hough transforms; eye; image colour analysis; image segmentation; medical image processing; microorganisms; Human Papilloma Virus; circular Hough transform; colour segmentation; gray scale; inner boundary; iris localization; outer boundary; HSV; Iris; RGB; circular Hough transform; gray; iris localization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Engineering and Sciences (IECBES), 2012 IEEE EMBS Conference on
  • Conference_Location
    Langkawi
  • Print_ISBN
    978-1-4673-1664-4
  • Type

    conf

  • DOI
    10.1109/IECBES.2012.6498174
  • Filename
    6498174