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
Link To Document :
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