Please use this identifier to cite or link to this item: http://repository.kln.ac.lk/handle/123456789/15648
Title: Performing Iris Segmentation by Using Geodesic Active Contour (GAC)
Authors: Yuan-Tsung Chang
Chih-Wen Ou
Jayasekara, J.M.N.D.B.
Yung-Hui Li
Keywords: GAC
Iris Segmentation
ICE
UBIRIS
Issue Date: 2016
Publisher: Faculty of Computing and Technology, University of Kelaniya, Sri Lanka
Citation: Yuan-Tsung Chang, Chih-Wen Ou, Jayasekara, J.M.N.D.B. and Yung-Hui Li 2016. Performing Iris Segmentation by Using Geodesic Active Contour (GAC). Kelaniya International Conference on Advances in Computing and Technology (KICACT - 2016), Faculty of Computing and Technology, University of Kelaniya, Sri Lanka. p 75.
Abstract: A novel iris segmentation technique based on active contour is proposed in this paper. Our approach includes two important issues, pupil segmentation and iris circle calculation. If the correct center position and radius of pupil can be find out in tested image, then the iris in the result will be able to precisely segment. The final accuracy for ICE dataset is reached around 92%, and also can get high accuracy 79% for UBIRIS. Our results demonstrate that the proposed iris segmentation can perform well with high accuracy for Iris’s image.
URI: http://repository.kln.ac.lk/handle/123456789/15648
ISBN: 978-955-704-013-4
Appears in Collections:KICACT 2016

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