Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/451707
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.coverage.spatial | ||
dc.date.accessioned | 2023-01-23T05:21:53Z | - |
dc.date.available | 2023-01-23T05:21:53Z | - |
dc.identifier.uri | http://hdl.handle.net/10603/451707 | - |
dc.description.abstract | newline | |
dc.format.extent | ||
dc.language | English | |
dc.relation | ||
dc.rights | university | |
dc.title | Identification of efficient Preprocessing and Post processing Techniques to enhance the recognition efficiency of characters from Ancient palm leaves | |
dc.title.alternative | ||
dc.creator.researcher | Jyothi, R L | |
dc.subject.keyword | Character Recognition Based on Shallow Feature Extraction | |
dc.subject.keyword | Character Recognition Using CNN based methods | |
dc.subject.keyword | Computer Science | |
dc.subject.keyword | Computer Science Software Engineering | |
dc.subject.keyword | Engineering and Technology | |
dc.description.note | ||
dc.contributor.guide | Abdul rahiman, M | |
dc.publisher.place | Thiruvananthapuram | |
dc.publisher.university | University of Kerala | |
dc.publisher.institution | Faculty of Engineering and Technology | |
dc.date.registered | ||
dc.date.completed | 2021 | |
dc.date.awarded | 2022 | |
dc.format.dimensions | ||
dc.format.accompanyingmaterial | DVD | |
dc.source.university | University | |
dc.type.degree | Ph.D. | |
Appears in Departments: | Faculty of Engineering and Technology |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01_title.pdf | Attached File | 48.13 kB | Adobe PDF | View/Open |
02_prelim pages.pdf | 282.94 kB | Adobe PDF | View/Open | |
03_contents.pdf | 79.12 kB | Adobe PDF | View/Open | |
04_abstract.pdf | 46.51 kB | Adobe PDF | View/Open | |
05_chapter1.pdf | 3.86 MB | Adobe PDF | View/Open | |
06_chapter2.pdf | 383.36 kB | Adobe PDF | View/Open | |
07_chapter3.pdf | 4 MB | Adobe PDF | View/Open | |
08_chapter4.pdf | 575.16 kB | Adobe PDF | View/Open | |
09_chapter5.pdf | 617.31 kB | Adobe PDF | View/Open | |
10_chapter 6.pdf | 81.91 kB | Adobe PDF | View/Open | |
11_annexures.pdf | 222.81 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 133.02 kB | Adobe PDF | View/Open |
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