Enhancement of accuracy in face recognition system using convolutional neural network and comparing with artificial neural network-Reference-Cited by-同舟云学术

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Enhancement of accuracy in face recognition system using convolutional neural network and comparing with artificial neural network

Published:2023 Issue: Volume: Page:
ISSN:0094-243X
Container-title:INTERNATIONAL CONFERENCE ON SCIENCE, ENGINEERING, AND TECHNOLOGY 2022: Conference Proceedings
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Author:

Reddy P. Ram Kiran,Uganya G.

Publisher

AIP Publishing

Link

http://aip.scitation.org/doi/pdf/10.1063/5.0178590

Reference37 articles.

1. S. Ramakrishnan, Face Recognition: Semisupervised Classification, Subspace Projection and Evaluation Methods. BoD – Books on Demand, 2016.

2. Face Recognition by Computers and Humans

3. Extraction the Facial Features of the Human Face

4. Fingervein Presentation Attack Detection Using Transferable Features from Deep Convolution Neural Networks

5. M. S. Obaidat, I. Traore, and I. Woungang, Biometric-Based Physical and Cybersecurity Systems. Springer, 2018.

Cited by 1 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. Design of Automated Smart Attendance System Using Deep Learning Based Face Recognition;2024 Ninth International Conference on Science Technology Engineering and Mathematics (ICONSTEM);2024-04-04

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