DocumentCode :
2314714
Title :
A robust hybrid iris localization technique
Author :
Ziauddin, Sheikh ; Dailey, Matthew N.
Author_Institution :
Comput. Sci. & Inf. Manage., Asian Inst. of Technol., Pathumthani
fYear :
2009
fDate :
6-9 May 2009
Firstpage :
1058
Lastpage :
1061
Abstract :
In this paper, a new iris localization method is presented. An iris recognition system acquires a human eye image, segments the iris region from the rest of the image, normalizes this segmented image and encodes features to get a compact iris template. Performance of all subsequent stages in an iris recognition system is highly dependent on correct detection of pupil-iris and iris-sclera boundaries in the eye images. In this paper, we present one such system which finds pupil boundary using image gray levels but uses edge detection and circular Hough transform to locate iris boundary. We introduce a number of optimizations to traditional Hough transform based methods. Experimental evaluation shows that the proposed system is accurate and efficient enough for real life applications.
Keywords :
Hough transforms; edge detection; eye; feature extraction; image coding; image segmentation; optimisation; circular Hough transform; edge detection; feature encoding; human eye image segmentation; image gray level; iris recognition system; iris-sclera boundary detection; optimization; pupil-iris detection; robust hybrid iris localization technique; Computer science; Humans; Image databases; Image edge detection; Image segmentation; Information management; Iris recognition; Optimization methods; Robust stability; Robustness; Biometrics; circular Hough transform; iris localization; iris recognition; iris segmentation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, 2009. ECTI-CON 2009. 6th International Conference on
Conference_Location :
Pattaya, Chonburi
Print_ISBN :
978-1-4244-3387-2
Electronic_ISBN :
978-1-4244-3388-9
Type :
conf
DOI :
10.1109/ECTICON.2009.5137227
Filename :
5137227
Link To Document :
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