Face Recognition Using VGG16 CNN Architecture for Enhanced Security Surveillance—A Survey-Reference-Cited by-同舟云学术

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Face Recognition Using VGG16 CNN Architecture for Enhanced Security Surveillance—A Survey

Published:2022 Issue: Volume: Page:1111-1125
ISSN:1876-1100
Container-title:Futuristic Trends in Networks and Computing Technologies
language:
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Author:

Olaitan Alashiri,Adewale Adeyinka,Misra Sanjay,Agrawal Akshat,Ahuja Ravin,Oluranti Jonathan

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-19-5037-7_80

Reference52 articles.

1. Lumaban MBP, Battung GT (2020) WEBCAM-based surveillance system with face recognition feature. Int J Eng Adv Technol 9

2. Ahamed H, Alam I, Islam MM (2018) HOG-CNN-based real-time face recognition. International conference on advancement in electrical and electronic engineering, pp 1–4

3. Chawla D, Trivedi MC (2018) A comparative study on face detection techniques for security surveillance. A comparative study on face detection techniques for security surveillance, pp 531–541

4. Singh M, Nagpal S, Singh R, Vatsa M (2014) On recognizing face images with weight and age variations. IEEE Access 2:822–830

5. Ghorbani M, Targhi AT, Dehshibi MM (2015) HOG and LBP: towards a robust face recognition system. International conference on digital information management, pp 138–141

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Deep Face Recognition based on an Optimized Deep Neural Network using ZFNet;2023 20th ACS/IEEE International Conference on Computer Systems and Applications (AICCSA);2023-12-04

2. An Analytical Review on Image Enhancement Techniques;2023 2nd Edition of IEEE Delhi Section Flagship Conference (DELCON);2023-02-24

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