Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/585231
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dc.coverage.spatial
dc.date.accessioned2024-08-23T10:38:00Z-
dc.date.available2024-08-23T10:38:00Z-
dc.identifier.urihttp://hdl.handle.net/10603/585231-
dc.description.abstractAbstract Attached
dc.format.extent156
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleMachine learning approaches for handwritten character recognition system A case study for Arabic language
dc.title.alternative
dc.creator.researcherBoraik, Omar Ali Boraik Salim
dc.subject.keywordEngineering and Technology
dc.subject.keywordComputer Science
dc.subject.keywordImaging Science and Photographic Technology
dc.description.note
dc.contributor.guideRavikumar M
dc.publisher.placeShankaraghatta
dc.publisher.universityKuvempu University
dc.publisher.institutionDepartment of Computer Science
dc.date.registered
dc.date.completed2023
dc.date.awarded2023
dc.format.dimensions
dc.format.accompanyingmaterialCD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Department of Computer Applications

Files in This Item:
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01_title.pdfAttached File66.97 kBAdobe PDFView/Open
02_preliminary pages.pdf437.26 kBAdobe PDFView/Open
03_contents.pdf119.01 kBAdobe PDFView/Open
04_abstract.pdf35.28 kBAdobe PDFView/Open
05_chapter 1.pdf759.98 kBAdobe PDFView/Open
06_chapter 2.pdf1.1 MBAdobe PDFView/Open
07_chapter 3.pdf1.51 MBAdobe PDFView/Open
08_chapter 4.pdf896.5 kBAdobe PDFView/Open
09_chapter 5.pdf1.07 MBAdobe PDFView/Open
10_chapter 6.pdf46.3 kBAdobe PDFView/Open
11_annexure.pdf293.96 kBAdobe PDFView/Open
80_recommendation.pdf78.66 kBAdobe PDFView/Open


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