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Iris recognition based on non-local comparisons
Sun, ZN; Tan, TN; Wang, YH
2004
发表期刊ADVANCES IN BIOMETRIC PERSON AUTHENTICATION, PROCEEDINGS
卷号3338期号:0页码:67-77
文章类型Article
摘要Iris recognition provides a reliable method for personal identification. Inspired by recent achievements in the field of visual neuroscience, we encode the non-local image comparisons qualitatively for iris recognition. In this scheme, each bit iris code corresponds to the sign of an inequality across several distant image regions. Compared with local ordinal measures, the relationships of dissociated multi-pole are more informative and robust against intraclass variations. Thus non-local ordinal measures are more suited for iris recognition. In our early work, we have built a general framework "robust encoding of local ordinal measures" to unify several top iris recognition algorithms. Therefore the results reported in this paper improve state-of-the-art iris recognition performance essentially as well as evolve the framework from pair-wise local ordinal relationship to non-local ordinal feature of multiple regions. Our ideas are proved on CASIA iris image database.
关键词None
WOS标题词Science & Technology ; Technology
收录类别SCI ; ISTP
语种英语
WOS研究方向Computer Science
WOS类目Computer Science, Artificial Intelligence ; Computer Science, Theory & Methods
WOS记录号WOS:000226133000007
引用统计
被引频次:3[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/173211/9057
专题09年以前成果
作者单位Chinese Acad Sci, Inst Automat, Ctr Biometr Res & Testing, Beijing 100080, Peoples R China
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GB/T 7714
Sun, ZN,Tan, TN,Wang, YH. Iris recognition based on non-local comparisons[J]. ADVANCES IN BIOMETRIC PERSON AUTHENTICATION, PROCEEDINGS,2004,3338(0):67-77.
APA Sun, ZN,Tan, TN,&Wang, YH.(2004).Iris recognition based on non-local comparisons.ADVANCES IN BIOMETRIC PERSON AUTHENTICATION, PROCEEDINGS,3338(0),67-77.
MLA Sun, ZN,et al."Iris recognition based on non-local comparisons".ADVANCES IN BIOMETRIC PERSON AUTHENTICATION, PROCEEDINGS 3338.0(2004):67-77.
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