Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/318371
Title: Segmentation and recognition of handwritten Arabic text under totally or quasi supervised scenarios
Researcher: Ghaleb, Hashem Ali Mohammed
Guide(s): Nagabhushan, P.
Keywords: Arabic Text
Computer Science
Correlation-Entropy Features
Document Image Analysis
Engineering and Technology
Histogram Features
Imaging Science and Photographic Technology
Quasi Supervised Recognition
Spatio partitioning
University: University of Mysore
Completed Date: 2019
Abstract: newline
Pagination: 
URI: http://hdl.handle.net/10603/318371
Appears in Departments:Department of Computer Science

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01_title.pdfAttached File144.06 kBAdobe PDFView/Open
02_decleration.pdf213.82 kBAdobe PDFView/Open
03_certificate.pdf203.45 kBAdobe PDFView/Open
04_acknowledgement.pdf136.88 kBAdobe PDFView/Open
05_contents.pdf162.34 kBAdobe PDFView/Open
06_list of tables.pdf158.83 kBAdobe PDFView/Open
07_list of figures.pdf226 kBAdobe PDFView/Open
08_abstract.pdf89.14 kBAdobe PDFView/Open
09_chapter 1.pdf378.27 kBAdobe PDFView/Open
10_chapter 2.pdf753.15 kBAdobe PDFView/Open
11_chapter 3.pdf609.77 kBAdobe PDFView/Open
12_chapter 4.pdf753.28 kBAdobe PDFView/Open
13_chapter 5.pdf604.88 kBAdobe PDFView/Open
14_bibliography.pdf193.58 kBAdobe PDFView/Open
15_list of publications.pdf100.09 kBAdobe PDFView/Open
80_recommendation.pdf318.99 kBAdobe PDFView/Open
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