CASIA OpenIR  > 09年以前成果
Iris recognition based on non-local comparisons
Sun, ZN; Tan, TN; Wang, YH
AbstractIris 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.
WOS HeadingsScience & Technology ; Technology
Indexed BySCI ; ISTP
WOS Research AreaComputer Science
WOS SubjectComputer Science, Artificial Intelligence ; Computer Science, Theory & Methods
WOS IDWOS:000226133000007
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Cited Times:3[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
AffiliationChinese Acad Sci, Inst Automat, Ctr Biometr Res & Testing, Beijing 100080, Peoples R China
Recommended Citation
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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