中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Local intensity variation analysis for iris recognition

文献类型:期刊论文

作者Ma, L; Tan, TM; Wang, YH; Zhang, DX
刊名PATTERN RECOGNITION
出版日期2004-06-01
卷号37期号:6页码:1287-1298
关键词iris recognition local intensity variations Gaussian-Hermite moments Fisher linear discriminant biometrics
英文摘要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.
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]MOMENTS
收录类别SCI
语种英语
WOS记录号WOS:000221553100015
公开日期2015-09-22
源URL[http://ir.ia.ac.cn/handle/173211/7966]  
专题自动化研究所_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
推荐引用方式
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.

入库方式: OAI收割

来源:自动化研究所

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