Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/232867
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DC FieldValueLanguage
dc.coverage.spatialInformation and Communication Engineering
dc.date.accessioned2019-03-19T06:22:35Z-
dc.date.available2019-03-19T06:22:35Z-
dc.identifier.urihttp://hdl.handle.net/10603/232867-
dc.description.abstractAbstract available
dc.format.extentxvi, 130p.
dc.languageOthers
dc.relation117-129
dc.rightsuniversity
dc.titleAn intelligent Indian sign language recognition system with hybrid classification approach using hand gesture images and NAM speech signal
dc.title.alternative
dc.creator.researcherM, Suresh Anand
dc.subject.keywordDWT
dc.subject.keywordHandgestureimage
dc.subject.keywordMFCC
dc.subject.keywordNAMspeechsignal
dc.subject.keywordSignlanguage
dc.description.noteData not available
dc.contributor.guideKumar, N Mohan
dc.publisher.placeChennai
dc.publisher.universityAnna University
dc.publisher.institutionFaculty of Information and Communication Engineering
dc.date.registeredn.d.
dc.date.completed2018
dc.date.awardedn.d.
dc.format.dimensions30cm.
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Faculty of Information and Communication Engineering

Files in This Item:
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01_title page.pdfAttached File24.33 kBAdobe PDFView/Open
02_certificate.pdf657.67 kBAdobe PDFView/Open
03_abstract.pdf84.98 kBAdobe PDFView/Open
04_acknowledgement.pdf5.16 kBAdobe PDFView/Open
05_table of content.pdf13.33 kBAdobe PDFView/Open
06_list of table.pdf9.04 kBAdobe PDFView/Open
07_list of figures.pdf8.81 kBAdobe PDFView/Open
08_list of abbreviation.pdf8.39 kBAdobe PDFView/Open
09_chapter 1.pdf1.34 MBAdobe PDFView/Open
10_chapter 2.pdf276.65 kBAdobe PDFView/Open
11_chapter 3.pdf491.23 kBAdobe PDFView/Open
12_chapter 4.pdf1.71 MBAdobe PDFView/Open
13_chapter 5.pdf598.82 kBAdobe PDFView/Open
14_chapter 6.pdf406.79 kBAdobe PDFView/Open
15_references.pdf365.14 kBAdobe PDFView/Open
16_list of publication.pdf171.04 kBAdobe PDFView/Open


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