Toward Accurate and Fast Iris Segmentation for Iris Biometrics
文献类型：期刊论文
| 作者 | He, Zhaofeng1 ; Tan, Tieniu; Sun, Zhenan; Qiu, Xianchao
|
| 刊名 | IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
 |
| 出版日期 | 2009-09-01 |
| 卷号 | 31期号:9页码:1670-1684 |
| 关键词 | Biometrics iris segmentation reflection removal eyelid localization eyelash and shadow detection edge fitting |
| 英文摘要 | Iris segmentation is an essential module in iris recognition because it defines the effective image region used for subsequent processing such as feature extraction. Traditional iris segmentation methods often involve an exhaustive search of a large parameter space, which is time consuming and sensitive to noise. To address these problems, this paper presents a novel algorithm for accurate and fast iris segmentation. After efficient reflection removal, an Adaboost-cascade iris detector is first built to extract a rough position of the iris center. Edge points of iris boundaries are then detected, and an elastic model named pulling and pushing is established. Under this model, the center and radius of the circular iris boundaries are iteratively refined in a way driven by the restoring forces of Hooke's law. Furthermore, a smoothing spline-based edge fitting scheme is presented to deal with noncircular iris boundaries. After that, eyelids are localized via edge detection followed by curve fitting. The novelty here is the adoption of a rank filter for noise elimination and a histogram filter for tackling the shape irregularity of eyelids. Finally, eyelashes and shadows are detected via a learned prediction model. This model provides an adaptive threshold for eyelash and shadow detection by analyzing the intensity distributions of different iris regions. Experimental results on three challenging iris image databases demonstrate that the proposed algorithm outperforms state-of-the-art methods in both accuracy and speed. |
| WOS标题词 | Science & Technology ; Technology |
| 类目[WOS] | Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic |
| 研究领域[WOS] | Computer Science ; Engineering |
| 关键词[WOS] | SPLINE FUNCTIONS ; RECOGNITION ; IMAGES |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000267369800010 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/3776]  |
| 专题 | 自动化研究所_智能感知与计算研究中心 |
| 作者单位 | 1.Chinese Acad Sci, Inst Automat, Ctr Biometr & Secur Res, Beijing 100190, Peoples R China 2.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China |
| 推荐引用方式 GB/T 7714 | He, Zhaofeng,Tan, Tieniu,Sun, Zhenan,et al. Toward Accurate and Fast Iris Segmentation for Iris Biometrics[J]. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE,2009,31(9):1670-1684. |
| APA | He, Zhaofeng,Tan, Tieniu,Sun, Zhenan,&Qiu, Xianchao.(2009).Toward Accurate and Fast Iris Segmentation for Iris Biometrics.IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE,31(9),1670-1684. |
| MLA | He, Zhaofeng,et al."Toward Accurate and Fast Iris Segmentation for Iris Biometrics".IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE 31.9(2009):1670-1684. |
入库方式： OAI收割
来源：自动化研究所
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