Efficient and robust segmentation of noisy iris images for non-cooperative iris recognition | |
Tan, Tieniu; He, Zhaofeng; Sun, Zhenan | |
发表期刊 | IMAGE AND VISION COMPUTING |
2010-02-01 | |
卷号 | 28期号:2页码:223-230 |
文章类型 | Article |
摘要 | This paper describes the winning algorithm we submitted to the recent NICE.I iris recognition contest. Efficient and robust segmentation of noisy iris images is one of the bottlenecks for non-cooperative iris recognition. To address this problem, a novel iris segmentation algorithm is proposed in this paper. After reflection removal, a clustering based coarse iris localization scheme is first performed to extract a rough position of the iris, as well as to identify non-iris regions such as eyelashes and eyebrows. A novel integrodifferential constellation is then constructed for the localization of pupillary and limbic boundaries, which not only accelerates the traditional integrodifferential operator but also enhances its global convergence. After that, a curvature model and a prediction model are learned to deal with eyelids and eyelashes, respectively. Extensive experiments on the challenging UBIRIS iris image databases demonstrate that encouraging accuracy is achieved by the proposed algorithm which is ranked the best performing algorithm in the recent open contest on iris recognition (the Noisy Iris Challenge Evaluation, NICE.I). (C) 2009 Elsevier B.V. All rights reserved. |
关键词 | Coarse Iris Localization Eyelid And Eyelash Detection Iris Segmentation Non-cooperative Iris Recognition |
WOS标题词 | Science & Technology ; Technology ; Physical Sciences |
收录类别 | SCI |
语种 | 英语 |
WOS研究方向 | Computer Science ; Engineering ; Optics |
WOS类目 | Computer Science, Artificial Intelligence ; Computer Science, Software Engineering ; Computer Science, Theory & Methods ; Engineering, Electrical & Electronic ; Optics |
WOS记录号 | WOS:000273173100003 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/3770 |
专题 | 智能感知与计算研究中心 |
作者单位 | Chinese Acad Sci, Ctr Biometr & Secur Res, Natl Lab Pattern Recognit, Inst Automat, Beijing 100190, Peoples R China |
第一作者单位 | 模式识别国家重点实验室 |
推荐引用方式 GB/T 7714 | Tan, Tieniu,He, Zhaofeng,Sun, Zhenan. Efficient and robust segmentation of noisy iris images for non-cooperative iris recognition[J]. IMAGE AND VISION COMPUTING,2010,28(2):223-230. |
APA | Tan, Tieniu,He, Zhaofeng,&Sun, Zhenan.(2010).Efficient and robust segmentation of noisy iris images for non-cooperative iris recognition.IMAGE AND VISION COMPUTING,28(2),223-230. |
MLA | Tan, Tieniu,et al."Efficient and robust segmentation of noisy iris images for non-cooperative iris recognition".IMAGE AND VISION COMPUTING 28.2(2010):223-230. |
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