Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/516472
Title: Handwritten Text Recognition for Devanagari Script using Deep Learning Models
Researcher: Bisht, Mamta
Guide(s): Gupta, Richa
Keywords: CNN,
CTC
Devanagari script
Engineering
Engineering and Technology
Engineering Electrical and Electronic
Lexicon correction
LSTM,
OCR, Handwriting recognition,
Transfer learning
University: Jaypee Institute of Information Technology
Completed Date: 2023
Abstract: included newline
Pagination: xviii, 158, synopsis-13
URI: http://hdl.handle.net/10603/516472
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
Show full item record


Items in Shodhganga are licensed under Creative Commons Licence Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0).

Altmetric Badge: