Performance analysis of finger print face features matching using agglomerative multi clustering

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dc.contributor.guideArumugam, S
dc.coverage.spatialInformation and Communication Engineering
dc.creator.researcherV, Latha Jothi
dc.date.accessioned2017-11-16T05:58:44Z
dc.date.available2017-11-16T05:58:44Z
dc.date.awardedn.d.
dc.date.completed2016
dc.date.registeredn.d.
dc.description.abstractAbstract available
dc.description.noteData not available
dc.format.accompanyingmaterialNone
dc.format.dimensions31cm.
dc.format.extentxvii, 135p.
dc.identifier.urihttp://hdl.handle.net/10603/181158
dc.languageEnglish US
dc.publisher.institutionFaculty of Information and Communication Engineering
dc.publisher.placeChennai
dc.publisher.universityAnna University
dc.relation127-134
dc.rightsuniversity
dc.source.universityUniversity
dc.subject.keywordAgglomerative
dc.subject.keywordClustering
dc.subject.keywordFace
dc.subject.keywordFinger
dc.subject.keywordPrint
dc.titlePerformance analysis of finger print face features matching using agglomerative multi clustering
dc.title.alternative
dc.type.degreePh.D.

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