Iris is one of the most discriminating human physiological traits being used for personal human identification. The
success of iris based system is highly relied on the accurately captured and precisely segmented iris image. False
rejection rate has been a major challenge in the success of such system which primarily results from inaccurate iris
segmentation. Most of the presented algorithms on iris segmentation considers pupil as perfect circle. However,
according to observation this is not true in all the cases. In addition, a little angular shift in position of subject iris can
further deteriorate the performance of algorithms based on circular assumption. To improve the quality of segmentation,
an effective algorithm is proposed for iris segmentation which takes into consideration issues related to irregular pupil
boundary as well as computation intensive nature of the prevailing algorithms. Contrary to all the previous approaches,
the proposed algorithm is based on detection of pupil prospect point within the pupil region and utilizes bi-directional
horizontal projections and distance parameters to detect the pupillary as well as limbus boundaries. The processing
involved is linear in nature. Simulation of the proposed algorithm is done in Matlab.
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