An improved face recognition with T2FSN based noise reduction in unconstrained environment
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-023-17624-8.pdf
Reference49 articles.
1. Rajpal A, Sehra K, Bagri R, Sikka P (2023) XAI-FR: Explainable AI-based face recognition using deep neural networks. Wireless Pers Commun 129(1):663–680
2. Yu C, Pei H (2021) Face recognition framework based on effective computing and adversarial neural network and its implementation in machine vision for social robots. Comput Electr Eng 92:107128. Elsevier
3. Bah SM, Ming F (2020) An improved face recognition algorithm and its application in attendance management system. Array Elsevier 5:100014
4. Méndez-Llanes N, Castillo-Rosado K, Méndez-Vázquez H, Tistarelli M (2022) On the Use of Local Fixations and Quality Measures for Deep Face Recognition. IEEE Transactions on Biometrics, Behavior, and Identity Science 4(2):150–162
5. Nuthan KV, Krishna BVS and Gound RS (2023) Survey on face recognition using an improved VGGNET convolutional neural network. In: 2023 International Conference on Sustainable Computing and Smart Systems (ICSCSS). IEEE, 558–562
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