Shodhganga : a reservoir of Indian theses @ INFLIBNET
The Shodhganga@INFLIBNET Centre provides a platform for research students to deposit their Ph.D. theses and make it available to the entire scholarly community in open access.
Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/594277
| Title: | Efficient multi gait recognition using effective shadow removal and classification technique using fast rcnn |
| Researcher: | Amanulla khan, M |
| Guide(s): | Sithi shameem fathima, S M H |
| Keywords: | biometric Engineering Engineering and Technology Engineering Multidisciplinary gait recognition |
| University: | Anna University |
| Completed Date: | 2024 |
| Pagination: | xviii,135p. |
| URI: | http://hdl.handle.net/10603/594277 |
| Appears in Departments: | Faculty of Information and Communication Engineering |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 01_title.pdf | Attached File | 211.25 kB | Adobe PDF | View/Open |
| 02_prelim_pages.pdf | 4.04 MB | Adobe PDF | View/Open | |
| 03_content.pdf | 53.92 kB | Adobe PDF | View/Open | |
| 04_abstract.pdf | 84.79 kB | Adobe PDF | View/Open | |
| 05_chapter1.pdf | 563.09 kB | Adobe PDF | View/Open | |
| 06_chapter2.pdf | 283.03 kB | Adobe PDF | View/Open | |
| 07_chapter3.pdf | 926.53 kB | Adobe PDF | View/Open | |
| 08_chapter4.pdf | 762.36 kB | Adobe PDF | View/Open | |
| 09_annexures.pdf | 45.21 kB | Adobe PDF | View/Open | |
| 80_recommendation.pdf | 558.86 kB | Adobe PDF | View/Open |
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