Efficient Iris Localization via Optimization Model

Efficient Iris Localization via Optimization Model

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 al...

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Main Authors: Qi Wang, Zhipeng Liu, Shu Tong, Yuqi Yang, Xiangde Zhang
Format: Article
Language:English
Published: Hindawi Limited 2017-01-01
Series:Mathematical Problems in Engineering
Online Access:http://dx.doi.org/10.1155/2017/7952152
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spelling doaj-0646b67a3e8049e8a1ebb75dd068a8392020-11-24T23:25:25ZengHindawi LimitedMathematical Problems in Engineering1024-123X1563-51472017-01-01201710.1155/2017/79521527952152Efficient Iris Localization via Optimization ModelQi Wang0Zhipeng Liu1Shu Tong2Yuqi Yang3Xiangde Zhang4Department of Mathematics, College of Sciences, Northeastern University, Shenyang 110819, ChinaDepartment of Mathematics, College of Sciences, Northeastern University, Shenyang 110819, ChinaDepartment of Mathematics, College of Sciences, Northeastern University, Shenyang 110819, ChinaDepartment of Mathematics, College of Sciences, Northeastern University, Shenyang 110819, ChinaDepartment of Mathematics, College of Sciences, Northeastern University, Shenyang 110819, ChinaIris 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.http://dx.doi.org/10.1155/2017/7952152
collection DOAJ
language English
format Article
sources DOAJ
author Qi Wang
Zhipeng Liu
Shu Tong
Yuqi Yang
Xiangde Zhang
spellingShingle Qi Wang
Zhipeng Liu
Shu Tong
Yuqi Yang
Xiangde Zhang
Efficient Iris Localization via Optimization Model
Mathematical Problems in Engineering
author_facet Qi Wang
Zhipeng Liu
Shu Tong
Yuqi Yang
Xiangde Zhang
author_sort Qi Wang
title Efficient Iris Localization via Optimization Model
title_short Efficient Iris Localization via Optimization Model
title_full Efficient Iris Localization via Optimization Model
title_fullStr Efficient Iris Localization via Optimization Model
title_full_unstemmed Efficient Iris Localization via Optimization Model
title_sort efficient iris localization via optimization model
publisher Hindawi Limited
series Mathematical Problems in Engineering
issn 1024-123X
1563-5147
publishDate 2017-01-01
description 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.
url http://dx.doi.org/10.1155/2017/7952152
work_keys_str_mv AT qiwang efficientirislocalizationviaoptimizationmodel
AT zhipengliu efficientirislocalizationviaoptimizationmodel
AT shutong efficientirislocalizationviaoptimizationmodel
AT yuqiyang efficientirislocalizationviaoptimizationmodel
AT xiangdezhang efficientirislocalizationviaoptimizationmodel
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