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26 February 2010 Iris detection based on pupil prospect point and horizontal projections
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Proceedings Volume 7546, Second International Conference on Digital Image Processing; 754628 (2010) https://doi.org/10.1117/12.853387
Event: Second International Conference on Digital Image Processing, 2010, Singapore, Singapore
Abstract
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.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Muhammad Shahid and Tabassam Nawaz "Iris detection based on pupil prospect point and horizontal projections", Proc. SPIE 7546, Second International Conference on Digital Image Processing, 754628 (26 February 2010); https://doi.org/10.1117/12.853387
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