DocumentCode :
2500242
Title :
A Robust Iris Localization Method Using an Active Contour Model and Hough Transform
Author :
Koh, Jaehan ; Govindaraju, Venu ; Chaudhary, Vipin
Author_Institution :
Dept. of Comput. Sci. & Eng., Univ. at Buffalo (SUNY), Buffalo, NY, USA
fYear :
2010
fDate :
23-26 Aug. 2010
Firstpage :
2852
Lastpage :
2856
Abstract :
Iris segmentation is one of the crucial steps in building an iris recognition system since it affects the accuracy of the iris matching significantly. This segmentation should accurately extract the iris region despite the presence of noises such as varying pupil sizes, shadows, specular reflections and highlights. Considering these obstacles, several attempts have been made in robust iris localization and segmentation. In this paper, we propose a robust iris localization method that uses an active contour model and a circular Hough transform. Experimental results on 100 images from CASIA iris image database show that our method achieves 99% accuracy and is about 2.5 times faster than the Daugman´s in locating the pupillary and the limbic boundaries.
Keywords :
Hough transforms; feature extraction; image matching; image segmentation; iris recognition; CASIA iris image database; active contour model; circular Hough transform; iris localization method; iris matching; iris recognition system; iris region extraction; iris segmentation; Active contours; Histograms; Image segmentation; Iris; Iris recognition; Noise; Transforms; Iris; biometrics; segmentation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition (ICPR), 2010 20th International Conference on
Conference_Location :
Istanbul
ISSN :
1051-4651
Print_ISBN :
978-1-4244-7542-1
Type :
conf
DOI :
10.1109/ICPR.2010.699
Filename :
5597043
Link To Document :
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