Design and Implementation of an Iris Recognition System
Journal of Al-Qadisiyah for Computer Science and Mathematics,
2010, Volume 2, Issue 2, Pages 1-14
AbstractHough transform is still the most commonly used method in many Iris Recognition Systems (IRSs) used in large companies and airports around all over the world. However, studies implemented demonstrated that Hough transform is a time consuming method. Moreover, the algorithm should be repeated twice (adding further time consuming); one for the isolation of the iris region and the other for the pupil region through the detection of the radius and the centre of both regions.
In this paper, a new technique to isolate the iris and the pupil regions for an IRS has been proposed. This technique, by considering the centre of the iris is exactly that of the pupil, applies two new algorithms, one to find the radius and the centre of the pupil and the other to find the radius of the iris. These algorithms make use of the intensity values of the pupil and the iris areas through setting different thresholds for their isolation. The new technique is programmed using MATLAB 6.5.
The results of this study have shown that the time required to isolate the iris region and the pupil region can be reduced rapidly using this new technique. Where it requires only (3) seconds to isolate both the iris and the pupil regions on a Pentium IV PC (1.7 GHz) using this new technique. This new applied technique to isolate the iris region and the pupil region has been tested on a 100 images database, all reporting a zero failure rate.
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