Local intensity variation analysis for iris recognition
文献类型:期刊论文
作者 | Ma, L![]() ![]() ![]() ![]() |
刊名 | PATTERN RECOGNITION
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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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