• DocumentCode
    2096381
  • Title

    Eyelid Detection in Localized Iris Images

  • Author

    Basit, A. ; Javed, M.Y. ; Anjum, M.A.

  • Author_Institution
    Dept. of Comput. Eng., Nat. Univ. of Sci. & Technol.
  • fYear
    2006
  • fDate
    13-14 Nov. 2006
  • Firstpage
    157
  • Lastpage
    159
  • Abstract
    Localization of human eye (iris) in a non invasive fashion with accuracy has great significance. Iris localization is the back bone of iris recognition systems. In this paper a novel method to localize the eyelid is presented. Iris is localized by applying the texture analysis approach. To find the upper eyelid, a rectangular average filter (size two by five) is applied to the segment above iris center and between left and right boundaries of iris. It is followed by sobel horizontal filter. Points of pupil and iris boundaries are removed and a parabola which best fit among the remaining points. This parabola is the required upper eyelid. Lower eyelid is obtained using the same method. Experimental results show that proposed method is very effective
  • Keywords
    eye; image recognition; image texture; object detection; eyelid detection; iris localization; iris recognition systems; localized iris images; texture analysis; Biometrics; Bones; Educational institutions; Eyelids; Filters; Fingers; Humans; Image edge detection; Iris recognition; Mechanical engineering;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Emerging Technologies, 2006. ICET '06. International Conference on
  • Conference_Location
    Peshawar
  • Print_ISBN
    1-4244-0502-5
  • Electronic_ISBN
    1-4244-0503-3
  • Type

    conf

  • DOI
    10.1109/ICET.2006.335903
  • Filename
    4136871