Design of a Face Recognition System based on Convolutional Neural Network (CNN)

Face recognition is an important function of video surveillance systems, enabling verification and identification of people who appear in a scene often captured by a distributed network of cameras. The recognition of people from the faces in images arouses great interest in the scientific community,...

Full description

Bibliographic Details
Main Authors:	Y. Said, M. Barr, H. E. Ahmed
Format:	Article
Language:	English
Published:	D. G. Pylarinos 2020-06-01
Series:	Engineering, Technology & Applied Science Research
Subjects:	face recognition biometrics Convolutional Neural Networks (CNNs) artificial intelligence deep learning
Online Access:	https://www.etasr.com/index.php/ETASR/article/view/3490

id	doaj-8d9f58faac284059be4819597d54ae45
record_format	Article
spelling	doaj-8d9f58faac284059be4819597d54ae452020-12-02T16:54:32ZengD. G. PylarinosEngineering, Technology & Applied Science Research2241-44871792-80362020-06-01103Design of a Face Recognition System based on Convolutional Neural Network (CNN)Y. Said0M. Barr1H. E. Ahmed2Electrical Engineering Department, Northern Border University, Saudi Arabia and Faculty of Sciences of Monastir, University of Monastir, TunisiaElectrical Engineering Department, Northern Border University, Saudi ArabiaElectrical Engineering Department, Northern Border University, Saudi Arabia and Faculty of Engineering, Benha University, EgyptFace recognition is an important function of video surveillance systems, enabling verification and identification of people who appear in a scene often captured by a distributed network of cameras. The recognition of people from the faces in images arouses great interest in the scientific community, partly because of the application interests but also because of the challenge that this represents for artificial vision algorithms. They must be able to cope with the great variability of the aspects of the faces themselves as well as the variations of the shooting parameters (pose, lighting, haircut, expression, background, etc.). This paper aims to develop a face recognition application for a biometric system based on Convolutional Neural Networks. It proposes a structure of a Deep Learning model which allows improving the existing state-of-the-art precision and processing time. https://www.etasr.com/index.php/ETASR/article/view/3490face recognitionbiometricsConvolutional Neural Networks (CNNs)artificial intelligencedeep learning
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	Y. Said M. Barr H. E. Ahmed
spellingShingle	Y. Said M. Barr H. E. Ahmed Design of a Face Recognition System based on Convolutional Neural Network (CNN) Engineering, Technology & Applied Science Research face recognition biometrics Convolutional Neural Networks (CNNs) artificial intelligence deep learning
author_facet	Y. Said M. Barr H. E. Ahmed
author_sort	Y. Said
title	Design of a Face Recognition System based on Convolutional Neural Network (CNN)
title_short	Design of a Face Recognition System based on Convolutional Neural Network (CNN)
title_full	Design of a Face Recognition System based on Convolutional Neural Network (CNN)
title_fullStr	Design of a Face Recognition System based on Convolutional Neural Network (CNN)
title_full_unstemmed	Design of a Face Recognition System based on Convolutional Neural Network (CNN)
title_sort	design of a face recognition system based on convolutional neural network (cnn)
publisher	D. G. Pylarinos
series	Engineering, Technology & Applied Science Research
issn	2241-4487 1792-8036
publishDate	2020-06-01
description	Face recognition is an important function of video surveillance systems, enabling verification and identification of people who appear in a scene often captured by a distributed network of cameras. The recognition of people from the faces in images arouses great interest in the scientific community, partly because of the application interests but also because of the challenge that this represents for artificial vision algorithms. They must be able to cope with the great variability of the aspects of the faces themselves as well as the variations of the shooting parameters (pose, lighting, haircut, expression, background, etc.). This paper aims to develop a face recognition application for a biometric system based on Convolutional Neural Networks. It proposes a structure of a Deep Learning model which allows improving the existing state-of-the-art precision and processing time.
topic	face recognition biometrics Convolutional Neural Networks (CNNs) artificial intelligence deep learning
url	https://www.etasr.com/index.php/ETASR/article/view/3490
work_keys_str_mv	AT ysaid designofafacerecognitionsystembasedonconvolutionalneuralnetworkcnn AT mbarr designofafacerecognitionsystembasedonconvolutionalneuralnetworkcnn AT heahmed designofafacerecognitionsystembasedonconvolutionalneuralnetworkcnn
_version_	1724405008656498688

Design of a Face Recognition System based on Convolutional Neural Network (CNN)

Similar Items