Iris segmentation based on active contour model and boundary constraints

YAN Ya-Bing; AN Ling-Ling; KABANO Gilles; WANG Quan

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Iris segmentation based on active contour model and boundary constraints

YAN Ya-Bing 1, AN Ling-Ling 1, KABANO Gilles 2, WANG Quan 1

1. School of Computer Science and Technology, Xidian University, Xi'an 710071

2. School of International Education, Xidian University, Xi'an 710071

*Correspondence author

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Funding: Research Fund for the Doctoral Program of Higher Education of China （No.20120203120014）, Natural Science Foundation of China （No.61303220）, Natural Science Basic Research Plan in Shaanxi Province of China （No.2015JQ6241）

Opened online:12 June 2016

Accepted by: none

Citation: YAN Ya-Bing, AN Ling-Ling, KABANO Gilles.Iris segmentation based on active contour model and boundary constraints[OL]. [12 June 2016] http://en.paper.edu.cn/en_releasepaper/content/4695299

In this paper, we present an iris segmentation method based on active contour model and boundary constraints. First, the proposed method utilizes the localizing region-based active contours model to detect the exterior boundary of the iris region approximately. Then the accurate segmentation together with the boundary constraints could be obtained according to the boundary mask. Following this, the circular Hough transform is adopted to localize the interior boundary of iris region under boundary constraints. Finally, the accurate iris segmentation can be achieved by integrating the interior and exterior boundaries. Extensive experiments demonstrate that the proposed method overcomes the disturbances caused by eyelid and eyelash occlusions, eyeglass and specular reflections, improving the accuracy of iris segmentation effectively.

Keywords:Image processing; Iris segmentation; Active contour model; Boundary constraints

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