Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/472705
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dc.coverage.spatial
dc.date.accessioned2023-03-27T12:01:14Z-
dc.date.available2023-03-27T12:01:14Z-
dc.identifier.urihttp://hdl.handle.net/10603/472705-
dc.description.abstractIncluded
dc.format.extent
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleAn efficient system for vision based recognition of Indian sign language using soft computing techniques
dc.title.alternative
dc.creator.researcherTyagi, Akansha
dc.subject.keywordComputer Science
dc.subject.keywordComputer Science Interdisciplinary Applications
dc.subject.keywordEngineering and Technology
dc.subject.keywordSign language
dc.description.noteBibliography p. 138-161, List of Publications p. xxvii-xxvii
dc.contributor.guideRani, Sandhya
dc.publisher.placeMullana- Ambala
dc.publisher.universityMaharishi Markandeshwar University, Mullana
dc.publisher.institutionDepartment of Computer Science and Engineering
dc.date.registered2018
dc.date.completed2023
dc.date.awarded2023
dc.format.dimensions
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Department of Computer Science and Engineering

Files in This Item:
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01_title.pdfAttached File71.92 kBAdobe PDFView/Open
02_prelim_pages.pdf166.53 kBAdobe PDFView/Open
03_contents.pdf138.82 kBAdobe PDFView/Open
04_abstract.pdf82.81 kBAdobe PDFView/Open
05_chapter1.pdf925.63 kBAdobe PDFView/Open
06_chapter2.pdf272.93 kBAdobe PDFView/Open
07_chapter3.pdf841.8 kBAdobe PDFView/Open
08_chapter4.pdf873.59 kBAdobe PDFView/Open
09_chapter5.pdf1.49 MBAdobe PDFView/Open
10_chapter6.pdf1.75 MBAdobe PDFView/Open
11_conclusion.pdf18.08 kBAdobe PDFView/Open
12_annexures.pdf675.73 kBAdobe PDFView/Open
80_recommendation.pdf168.92 kBAdobe PDFView/Open


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