Toward Accurate and Fast Iris Segmentation for Iris Biometrics

CASIA OpenIR > 智能感知与计算研究中心

	Toward Accurate and Fast Iris Segmentation for Iris Biometrics
	He, Zhaofeng1 ; Tan, Tieniu; Sun, Zhenan; Qiu, Xianchao
发表期刊	IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
	2009-09-01
卷号	31 期号:9 页码:1670-1684
文章类型	Article
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.
关键词	Biometrics Iris Segmentation Reflection Removal Eyelid Localization Eyelash And Shadow Detection Edge Fitting
WOS标题词	Science & Technology ; Technology
关键词[WOS]	SPLINE FUNCTIONS ; RECOGNITION ; IMAGES
收录类别	SCI
语种	英语
WOS研究方向	Computer Science ; Engineering
WOS类目	Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic
WOS记录号	WOS:000267369800010
引用统计	被引频次：234[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/3776
专题	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
第一作者单位	中国科学院自动化研究所
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.