Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/585231
Title: | Machine learning approaches for handwritten character recognition system A case study for Arabic language |
Researcher: | Boraik, Omar Ali Boraik Salim |
Guide(s): | Ravikumar M |
Keywords: | Engineering and Technology Computer Science Imaging Science and Photographic Technology |
University: | Kuvempu University |
Completed Date: | 2023 |
Abstract: | Abstract Attached |
Pagination: | 156 |
URI: | http://hdl.handle.net/10603/585231 |
Appears in Departments: | Department of Computer Applications |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01_title.pdf | Attached File | 66.97 kB | Adobe PDF | View/Open |
02_preliminary pages.pdf | 437.26 kB | Adobe PDF | View/Open | |
03_contents.pdf | 119.01 kB | Adobe PDF | View/Open | |
04_abstract.pdf | 35.28 kB | Adobe PDF | View/Open | |
05_chapter 1.pdf | 759.98 kB | Adobe PDF | View/Open | |
06_chapter 2.pdf | 1.1 MB | Adobe PDF | View/Open | |
07_chapter 3.pdf | 1.51 MB | Adobe PDF | View/Open | |
08_chapter 4.pdf | 896.5 kB | Adobe PDF | View/Open | |
09_chapter 5.pdf | 1.07 MB | Adobe PDF | View/Open | |
10_chapter 6.pdf | 46.3 kB | Adobe PDF | View/Open | |
11_annexure.pdf | 293.96 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 78.66 kB | Adobe PDF | View/Open |
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