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Local intensity variation analysis for iris recognition
Ma, L; Tan, TM; Wang, YH; Zhang, DX
2004-06-01
发表期刊PATTERN RECOGNITION
卷号37期号:6页码:1287-1298
文章类型Article
摘要As all emerging biometric for human identification, iris recognition has received increasing attention in recent years. This paper makes an attempt to reflect shape information of the iris by analyzing local intensity variations of an iris image. In Our framework, a set of one-dimensional (1D) intensity signals is constructed to contain the most important local variations of the original 2D iris image. Gaussian-Hermite moments of Such intensity signals reflect to a large extent their various spatial modes and are used as distinguishing features. A resulting high-dimensional feature vector is mapped into a low-dimensional subspace using Fisher linear discriminant, and then the nearest center classifier based on cosine similarity measure is adopted for classification. Extensive experimental results show that the proposed method is effective and encouraging. (C) 2004 Pattern Recognition Society. Published by Elsevier Ltd. All rights reserved.
关键词Iris Recognition Local Intensity Variations Gaussian-hermite Moments Fisher Linear Discriminant Biometrics
WOS标题词Science & Technology ; Technology
关键词[WOS]MOMENTS
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:000221553100015
引用统计
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/7966
专题智能感知与计算研究中心
作者单位Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100080, Peoples R China
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GB/T 7714
Ma, L,Tan, TM,Wang, YH,et al. Local intensity variation analysis for iris recognition[J]. PATTERN RECOGNITION,2004,37(6):1287-1298.
APA Ma, L,Tan, TM,Wang, YH,&Zhang, DX.(2004).Local intensity variation analysis for iris recognition.PATTERN RECOGNITION,37(6),1287-1298.
MLA Ma, L,et al."Local intensity variation analysis for iris recognition".PATTERN RECOGNITION 37.6(2004):1287-1298.
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