Performing Iris Segmentation by Using Geodesic Active Contour (GAC)

Yuan-Tsung Chang; Chih-Wen Ou; Jayasekara, J.M.N.D.B.; Yung-Hui Li

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dc.contributor.author	Yuan-Tsung Chang
dc.contributor.author	Chih-Wen Ou
dc.contributor.author	Jayasekara, J.M.N.D.B.
dc.contributor.author	Yung-Hui Li
dc.date.accessioned	2016-12-23T08:45:16Z
dc.date.available	2016-12-23T08:45:16Z
dc.date.issued	2016
dc.identifier.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.	en_US
dc.identifier.isbn	978-955-704-013-4
dc.identifier.uri	http://repository.kln.ac.lk/handle/123456789/15648
dc.description.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.	en_US
dc.language.iso	en	en_US
dc.publisher	Faculty of Computing and Technology, University of Kelaniya, Sri Lanka	en_US
dc.subject	GAC	en_US
dc.subject	Iris Segmentation	en_US
dc.subject	ICE	en_US
dc.subject	UBIRIS	en_US
dc.title	Performing Iris Segmentation by Using Geodesic Active Contour (GAC)	en_US
dc.type	Article	en_US