UUM Electronic Theses and Dissertation
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Access Windows by Iris Recognition

Ali, Musab A. M (2009) Access Windows by Iris Recognition. Masters thesis, Universiti Utara Malaysia.

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This project aims to design and develop an iris recognition system for accessing Microsoft Windows. The system is built using digital camera and Pentium 4 with SVGA display adapter. MATLAB ver. 7.0 is used to preprocess the taken images convert the images into code and compare the picture code with the stored database. The project involves two main steps: (1) applying image processing techniques on the picture of an eye for data acquisition. (2)applying Neural Networks techniques for identification .The image processing techniques display the steps for getting a very clear iris image necessary for extracting data from the acquisition of eye image in standard lighting and focusing. In a use of your images, the images are enhanced and segmented into 100 parts. The standard deviation is computed for every part in which the values are used for identification using NN techniques. Locating the iris is done by following the darkness density of the pupil. For all networks, the weights and output values are stored in a text file to be used later in identification. The Backprobagation network succeeded in identification and getting best results because it attained to (False Acceptance Rate = 10% - False Rejection Rate = 10%), while the Linear Associative Memory network attained to (False Acceptance Rate = 20% - False Rejection Rate = 20%)

Item Type: Thesis (Masters)
Supervisor : UNSPECIFIED
Item ID: 1604
Uncontrolled Keywords: Image Processing Techniques, Biometric Identification, Neural Networks, System Development
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Q Science > QA Mathematics > QA76 Computer software > QA76.76 Fuzzy System.
Divisions: College of Arts and Sciences (CAS)
Date Deposited: 17 Mar 2010 01:13
Last Modified: 28 Apr 2016 03:34
Department: College of Arts and Sciences
URI: https://etd.uum.edu.my/id/eprint/1604

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