1. Shodhganga@INFLIBNET
  2. Birla Institute of Technology and Science
  3. Electrical & Electronics Engineering
Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/123787
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DC FieldValueLanguage
dc.coverage.spatial
dc.date.accessioned2016-12-29T04:58:27Z-
dc.date.available2016-12-29T04:58:27Z-
dc.identifier.urihttp://hdl.handle.net/10603/123787-
dc.format.extent3MB
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleComputer Vision based Intelligent Techniques for Hand Gesture Recognition
dc.title.alternative
dc.creator.researcherAnkit Chaudhary
dc.subject.keywordHand Gesture
dc.subject.keywordIntelligent Techniques
dc.description.note
dc.contributor.guideDr. -Ing. J. L. Raheja
dc.publisher.placePilani
dc.publisher.universityBirla Institute of Technology and Science
dc.publisher.institutionElectrical and Electronics Engineering
dc.date.registered1/8/2009
dc.date.completed1/7/2012
dc.date.awarded1/7/2012
dc.format.dimensions
dc.format.accompanyingmaterialDVD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Electrical & Electronics Engineering

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