1. Shodhganga@INFLIBNET
  2. Vels University
  3. Department of Computer Science
Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/551640
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DC FieldValueLanguage
dc.coverage.spatial
dc.date.accessioned2024-03-15T10:47:33Z-
dc.date.available2024-03-15T10:47:33Z-
dc.identifier.urihttp://hdl.handle.net/10603/551640-
dc.description.abstractnewline
dc.format.extent
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleDevelopment of a Secured Multi Modal Revocable Biometric System Using Hybrid Template Protection Technique and Deep Neural Network
dc.title.alternative
dc.creator.researcherNithya B
dc.subject.keywordComputer Science
dc.subject.keywordComputer Science Artificial Intelligence
dc.subject.keywordEngineering and Technology
dc.description.note
dc.contributor.guideSripriya P
dc.publisher.placeChennai
dc.publisher.universityVels University
dc.publisher.institutionDepartment of Computer Science
dc.date.registered2019
dc.date.completed2022
dc.date.awarded2022
dc.format.dimensions
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Department of Computer Science

Files in This Item:
File Description SizeFormat 
01. title.pdfAttached File77.44 kBAdobe PDFView/Open
02_prelim pages.pdf198.43 kBAdobe PDFView/Open
03_content.pdf17.39 kBAdobe PDFView/Open
04_ abstract.pdf4.78 kBAdobe PDFView/Open
05_ chapter 1.pdf1.46 MBAdobe PDFView/Open
06_ chapter 2.pdf78.47 kBAdobe PDFView/Open
07_ chapter 3.pdf744.84 kBAdobe PDFView/Open
08_ chapter 4.pdf576.41 kBAdobe PDFView/Open
09_chapter 5.pdf406.5 kBAdobe PDFView/Open
10_annexures.pdf3.51 MBAdobe PDFView/Open
11_ chapter 6.pdf474.85 kBAdobe PDFView/Open
12_ chapter 7.pdf3.53 MBAdobe PDFView/Open
80_recommendation.pdf6.59 kBAdobe PDFView/Open
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