Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/516472
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DC FieldValueLanguage
dc.coverage.spatial
dc.date.accessioned2023-10-07T06:51:38Z-
dc.date.available2023-10-07T06:51:38Z-
dc.identifier.urihttp://hdl.handle.net/10603/516472-
dc.description.abstractincluded newline
dc.format.extentxviii, 158, synopsis-13
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleHandwritten Text Recognition for Devanagari Script using Deep Learning Models
dc.title.alternative
dc.creator.researcherBisht, Mamta
dc.subject.keywordCNN,
dc.subject.keywordCTC
dc.subject.keywordDevanagari script
dc.subject.keywordEngineering
dc.subject.keywordEngineering and Technology
dc.subject.keywordEngineering Electrical and Electronic
dc.subject.keywordLexicon correction
dc.subject.keywordLSTM,
dc.subject.keywordOCR, Handwriting recognition,
dc.subject.keywordTransfer learning
dc.description.note
dc.contributor.guideGupta, Richa
dc.publisher.placeNoida
dc.publisher.universityJaypee Institute of Information Technology
dc.publisher.institutionDepartment of Electronics and Communication 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 Electronics and Communication Engineering

Files in This Item:
File Description SizeFormat 
01_title.pdfAttached File96.74 kBAdobe PDFView/Open
02_prelim pages.pdf401.5 kBAdobe PDFView/Open
03_table of contents.pdf177.26 kBAdobe PDFView/Open
04_abstract.pdf43.27 kBAdobe PDFView/Open
05_chapter1.pdf980.66 kBAdobe PDFView/Open
06_chapter2.pdf1.26 MBAdobe PDFView/Open
07_chapter3.pdf1.17 MBAdobe PDFView/Open
08_chapter4.pdf1.21 MBAdobe PDFView/Open
09_chapter5.pdf692.34 kBAdobe PDFView/Open
10_references.pdf275.58 kBAdobe PDFView/Open
11_list of publications.pdf243.86 kBAdobe PDFView/Open
12_synopsis.pdf551.12 kBAdobe PDFView/Open
80_recommendation.pdf144.46 kBAdobe PDFView/Open


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