Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/303552
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DC FieldValueLanguage
dc.coverage.spatialInformation and communication technology
dc.date.accessioned2020-10-21T04:19:26Z-
dc.date.available2020-10-21T04:19:26Z-
dc.identifier.urihttp://hdl.handle.net/10603/303552-
dc.description.abstractfile attached
dc.format.extent144 p.
dc.languageEnglish
dc.relationno. of references 138
dc.rightsuniversity
dc.titleDesign of illumination invariant face recognition system based on robust feature extraction techniques using variants of wavelet transform
dc.title.alternative-
dc.creator.researcherJyotsna
dc.subject.keywordComputer Science
dc.subject.keywordEngineering and Technology
dc.subject.keywordFace perception
dc.subject.keywordFace recognition system
dc.subject.keywordHuman face recognition (Computer science)
dc.subject.keywordRobust control
dc.subject.keywordRobust feature extraction techniques
dc.subject.keywordTelecommunications
dc.description.notebibliography p.129-144
dc.contributor.guideRajpal, Navin
dc.publisher.placeDelhi
dc.publisher.universityGuru Gobind Singh Indraprastha University
dc.publisher.institutionUniversity School of Information and Communication Technology
dc.date.registered
dc.date.completed2019
dc.date.awarded
dc.format.dimensions-
dc.format.accompanyingmaterialNone
dc.type.degreePh.D.
dc.source.inflibnetINFLIBNET
Appears in Departments:University School of Information and Communication Technology

Files in This Item:
File Description SizeFormat 
01 title.pdfAttached File123.15 kBAdobe PDFView/Open
02 certificate.pdf350.84 kBAdobe PDFView/Open
03 acknowledgements.pdf206.79 kBAdobe PDFView/Open
04. abstract pdf.pdf197.32 kBAdobe PDFView/Open
05 contents.pdf542.68 kBAdobe PDFView/Open
06 chapter 1.pdf705.45 kBAdobe PDFView/Open
07 chapter 2.pdf1.61 MBAdobe PDFView/Open
08 chapter 3.pdf1.95 MBAdobe PDFView/Open
09 chapter 4.pdf1.84 MBAdobe PDFView/Open
10 chapter 5.pdf2.36 MBAdobe PDFView/Open
11 bibliography.pdf371.93 kBAdobe PDFView/Open
12 bio data.pdf196.55 kBAdobe PDFView/Open
80_recommendation.pdf605.37 kBAdobe PDFView/Open


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