Title:	REFINING EYE PUPIL BORDER BY CIRCULAR SHORTEST PATH METHOD
Author(s):	Ivan Matveev, Ivan Simonenko
ISBN:	978-972-8939-89-2
Editors:	Yingcai Xiao
Year:	2013
Edition:	Single
Keywords:	Iris segmentation, image processing, biometrics
Type:	Full Paper
First Page:	11
Last Page:	18
Language:	English
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Full Contents:	click to dowload
Paper Abstract:	The problem of detecting precise pupil border in eye image given its initial circular approximation is addressed with circular shortest path method. Brightness gradient direction is employed to choose image pixels, which may belong to pupil boundary. Using initial approximate circles allows the method to work in a narrow ring, which contains only single pupil contour. Under these conditions the method allows to correctly handle almost all images used for iris recognition tasks and appears to be more precise than human expert in marking the pupil border. The method was tested with public domain iris databases, containing more than 80000 images totally. Experiments show that refinement of pupil border increases precision of iris recognition.
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