• DocumentCode
    2886134
  • Title

    Enhancement pupil isolation method in iris recognition

  • Author

    Almisreb, Ali Abd ; Tahir, Nooritawati Md ; Ismail, Adzrool Idzwan ; Abdullah, Ramli

  • Author_Institution
    Fac. of Math. & Comput. Sci., Univ. Teknol. Mara, Shah Alam, Malaysia
  • fYear
    2011
  • fDate
    27-28 June 2011
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Iris recognition system is until now impractical to implement in real time environment due to the unfeasible processing time. Therefore, solutions are required to enhance the performance of an iris recognition system. Since pupil segmentation is one of the important tasks in iris localization procedure, in this paper, a technique to isolate the pupil boundary is discussed. We have proposed a new thresholding method based on the eye color map. This proposed method is experimentally applied to the CASIA database iris images and 100% accuracy is attained. Furthermore, the proposed method may be utilized in the real time iris recognition scenario due to the superb processing time of pupil boundary segmentation without any pre-filters.
  • Keywords
    image colour analysis; image segmentation; iris recognition; visual databases; CASIA database iris image; enhancement pupil isolation method; eye color map; iris localization procedure; pupil boundary; pupil boundary segmentation processing time; real time iris recognition; thresholding method; Accuracy; Conferences; Databases; Image color analysis; Image edge detection; Iris recognition; Real time systems; Enhancing; Iris recognition; Pupil; Thresholding method;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    System Engineering and Technology (ICSET), 2011 IEEE International Conference on
  • Conference_Location
    Shah Alam
  • Print_ISBN
    978-1-4577-1256-2
  • Type

    conf

  • DOI
    10.1109/ICSEngT.2011.5993409
  • Filename
    5993409