Accurate and fast iris segmentation applied to portable image capture device

As an important step for iris recognition, iris segmentation provides available texture region for subsequent processing. When using portable image capture device, non-ideal iris images are often obtained. Hence, this paper presents a novel algorithm for accurate and fast iris segmentation. By combi...

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Bibliographic Details
Published in2009 IEEE International Workshop on Imaging Systems and Techniques pp. 80 - 84
Main Authors Rui Chen, Xirong Lin, Tianhuai Ding, Jintao Ma
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.05.2009
Subjects
Active contours
Eyelashes
Eyelids
Image databases
Image segmentation
iris localization
Iris recognition
Iterative algorithms
Level set
non-ideal iris images
probabilistic active contours
Probability distribution
Reflection
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Summary:As an important step for iris recognition, iris segmentation provides available texture region for subsequent processing. When using portable image capture device, non-ideal iris images are often obtained. Hence, this paper presents a novel algorithm for accurate and fast iris segmentation. By combining level set theory with variational method, probabilistic active contour model (PAC) is established. In addition, region information and probability distribution are used as stop terms. Under this model, initial curve is iteratively driven towards iris boundaries. In the evolving process, eyelids, eyelashes, reflections and shadows are simultaneously detected. Experimental results on iris image database demonstrate that the proposed algorithm outperforms state-of-the-art methods in both accuracy and speed.
ISBN:9781424434824
1424434823
ISSN:1558-2809
2832-4242
DOI:10.1109/IST.2009.5071607