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Efficient Iris Localization via Optimization Model
Joint Authors
Wang, Qi
Zhang, Xiangde
Liu, Zhipeng
Tong, Shu
Yang, Yuqi
Source
Mathematical Problems in Engineering
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-12-18
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
Iris localization is one of the most important processes in iris recognition.
Because of different kinds of noises in iris image, the localization result may be wrong.
Besides this, localization process is time-consuming.
To solve these problems, this paper develops an efficient iris localization algorithm via optimization model.
Firstly, the localization problem is modeled by an optimization model.
Then SIFT feature is selected to represent the characteristic information of iris outer boundary and eyelid for localization.
And SDM (Supervised Descent Method) algorithm is employed to solve the final points of outer boundary and eyelids.
Finally, IRLS (Iterative Reweighted Least-Square) is used to obtain the parameters of outer boundary and upper and lower eyelids.
Experimental result indicates that the proposed algorithm is efficient and effective.
American Psychological Association (APA)
Wang, Qi& Liu, Zhipeng& Tong, Shu& Yang, Yuqi& Zhang, Xiangde. 2017. Efficient Iris Localization via Optimization Model. Mathematical Problems in Engineering،Vol. 2017, no. 2017, pp.1-9.
https://search.emarefa.net/detail/BIM-1192077
Modern Language Association (MLA)
Wang, Qi…[et al.]. Efficient Iris Localization via Optimization Model. Mathematical Problems in Engineering No. 2017 (2017), pp.1-9.
https://search.emarefa.net/detail/BIM-1192077
American Medical Association (AMA)
Wang, Qi& Liu, Zhipeng& Tong, Shu& Yang, Yuqi& Zhang, Xiangde. Efficient Iris Localization via Optimization Model. Mathematical Problems in Engineering. 2017. Vol. 2017, no. 2017, pp.1-9.
https://search.emarefa.net/detail/BIM-1192077
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1192077