• DocumentCode
    2703836
  • Title

    Access Office by Iris Recognition

  • Author

    Ali, Musab A M ; Tahir, Nooritawati Md

  • Author_Institution
    Fac. of Electr. Eng., Univ. Teknol. Mara (UiTM), Shah Alam, Malaysia
  • fYear
    2010
  • fDate
    26-28 May 2010
  • Firstpage
    328
  • Lastpage
    332
  • Abstract
    In this paper, potential of implementing the iris recognition system for accessing office is discussed that involved namely applying image processing techniques on the image of the eye for data acquisition, feature extraction for recognition via iris followed by artificial neural network (ANN) as classifier for identification. Only authorized people can pass through the door. The technique we employed for determining a very clear iris image that is required for extracting data from the acquisition of eye image in standard lighting and focusing is discussed. Initial findings proven that the proposed system can be utilized to enhance system security service and reduces the need for security staff.
  • Keywords
    Artificial neural networks; Biometrics; Buildings; Data mining; Data security; Image databases; Image processing; Iris recognition; Lighting control; Size control; Artifical Neural Network; Iris Recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mathematical/Analytical Modelling and Computer Simulation (AMS), 2010 Fourth Asia International Conference on
  • Conference_Location
    Kota Kinabalu, Malaysia
  • Print_ISBN
    978-1-4244-7196-6
  • Type

    conf

  • DOI
    10.1109/AMS.2010.72
  • Filename
    5489182