Facial feature annotations based automated partially occluded face recognition system

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dc.contributor.guideShanmugavadivu, P
dc.coverage.spatial
dc.creator.researcherAshish Kumar
dc.date.accessioned2021-02-18T12:08:04Z
dc.date.available2021-02-18T12:08:04Z
dc.date.awarded
dc.date.completed2020
dc.date.registered
dc.description.abstractnewline
dc.description.noteBibliography and Appendices Included
dc.format.accompanyingmaterialNone
dc.format.dimensions35cm.
dc.format.extentxx, 190p.
dc.identifier.urihttp://hdl.handle.net/10603/315785
dc.languageEnglish
dc.publisher.institutionDepartment of Computer Science and Applications
dc.publisher.placeDindigul
dc.publisher.universityThe Gandhigram Rural Institute
dc.relation
dc.rightsuniversity
dc.source.universityUniversity
dc.subject.keywordBit-planes
dc.subject.keywordCanny Algorithm
dc.subject.keywordComputer Science
dc.subject.keywordEdge Detection
dc.subject.keywordEngineering and Technology
dc.subject.keywordImaging Science and Photographic Technology
dc.subject.keywordModified Threshold
dc.titleFacial feature annotations based automated partially occluded face recognition system
dc.title.alternative
dc.type.degreePh.D.

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