Paper Info
Title
Iris detection based on pupil prospect point and horizontal projections
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.
Year
DOI
Venue
2010
10.1117/12.853387
Proceedings of SPIE
Keywords
Field
DocType
Iris detection,iris segmentation,false rejection rate,horizontal projections,pupil prospect point,biometrics
Computer vision,Segmentation,Computer science,Pupil,Image processing,Digital image,Image segmentation,Artificial intelligence,Biometrics,Rejection rate,Computation
Conference
Volume
ISSN
Citations 
7546
0277-786X
0
PageRank 
References 
Authors
0.34
0
2
Name
Order
Citations
PageRank
Muhammad Shahid1258.75
T. Nawaz2132.44