IR@JU Digital Repository
IR@JU preserves and enables easy and open access to all types of digital content including text, images, moving images, mpegs and data sets
Learn More
Please use this identifier to cite or link to this item:
https://irju.jdvu.ac.in/jspui/handle/123456789/10723| Title: | A time-efficient extended custom VGG architecture for face recognition |
| Authors: | Halder, Rupayan |
| Advisors: | Konar, Amit |
| Keywords: | Computer Vision;Face Recognition;Convolutional Neural Networks (CNN);VGG (Visual Geometry Group) architectures |
| Issue Date: | 2024 |
| Publisher: | Jadavpur University, Kolkata, West Bengal |
| URI: | https://irju.jdvu.ac.in/jspui/handle/123456789/10723 |
| Appears in Collections: | Dissertations |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| M.E. (Electronics Tele - communication Engineering) Rupayan Halder.pdf | 6.05 MB | Adobe PDF | View/Open |
Items in IR@JU are protected by copyright, with all rights reserved, unless otherwise indicated.