Staff View: Revolutionizing Human?Computer Interaction: Unraveling the Power of Deep Learning Convolutional Neural Networks in Face Recognition

Revolutionizing Human?Computer Interaction: Unraveling the Power of Deep Learning Convolutional Neural Networks in Face Recognition

Face recognition, being one of the most effective applications of image analysis, has recently received a lot of attention due to the huge implication in human?computer interaction (HCI). As the availability and eligibility to detect a person?s facial features, face recognition technology has been u...

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Main Authors:	Baharum A., Halamy S., Ismail R., Abdul Rahim E., Mat Noor N.A., Deris F.D.
Other Authors:	55916175500
Format:	Conference paper
Published:	Springer Science and Business Media Deutschland GmbH 2025
Subjects:	Adversarial machine learning Contrastive Learning Deep neural networks Face recognition Federated learning Human computer interaction Computer interaction Convolution neural network Convolutional neural network Deep-learning Facial feature Image analyze Image-analysis Machine-learning Power Convolutional neural networks
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id	my.uniten.dspace-37031
record_format	dspace
spelling	my.uniten.dspace-370312025-03-03T15:46:47Z Revolutionizing Human?Computer Interaction: Unraveling the Power of Deep Learning Convolutional Neural Networks in Face Recognition Baharum A. Halamy S. Ismail R. Abdul Rahim E. Mat Noor N.A. Deris F.D. 55916175500 57197830951 36080877900 59333589000 54791122900 56285335200 Adversarial machine learning Contrastive Learning Deep neural networks Face recognition Federated learning Human computer interaction Computer interaction Convolution neural network Convolutional neural network Deep-learning Facial feature Image analyze Image-analysis Machine-learning Power Convolutional neural networks Face recognition, being one of the most effective applications of image analysis, has recently received a lot of attention due to the huge implication in human?computer interaction (HCI). As the availability and eligibility to detect a person?s facial features, face recognition technology has been used in biometric detection applications as uses certain aspects of a person?s physiology to identify them. In addition, Deep Learning, under the subset of machine learning, can solve various problems, especially in image processing and face recognition. The advancement and development of Deep Learning can also enhance the use of the Convolution Neural Network (CNN) as the predominant model in the field of face recognition. The paper discusses the systems based on CNN approaches and algorithms and provides a review of the CNN face recognition approach. Furthermore, each paper?s details, such as used datasets, techniques, architecture, and obtained findings, hence the application are fully summarized and analyzed. ? The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024. Final 2025-03-03T07:46:47Z 2025-03-03T07:46:47Z 2024 Conference paper 10.1007/978-981-97-2977-7_13 2-s2.0-85204401976 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85204401976&doi=10.1007%2f978-981-97-2977-7_13&partnerID=40&md5=cad37c6af1910969e476168999534bf6 https://irepository.uniten.edu.my/handle/123456789/37031 1199 LNEE 213 229 Springer Science and Business Media Deutschland GmbH Scopus
institution	Universiti Tenaga Nasional
building	UNITEN Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Tenaga Nasional
content_source	UNITEN Institutional Repository
url_provider	http://dspace.uniten.edu.my/
topic	Adversarial machine learning Contrastive Learning Deep neural networks Face recognition Federated learning Human computer interaction Computer interaction Convolution neural network Convolutional neural network Deep-learning Facial feature Image analyze Image-analysis Machine-learning Power Convolutional neural networks
spellingShingle	Adversarial machine learning Contrastive Learning Deep neural networks Face recognition Federated learning Human computer interaction Computer interaction Convolution neural network Convolutional neural network Deep-learning Facial feature Image analyze Image-analysis Machine-learning Power Convolutional neural networks Baharum A. Halamy S. Ismail R. Abdul Rahim E. Mat Noor N.A. Deris F.D. Revolutionizing Human?Computer Interaction: Unraveling the Power of Deep Learning Convolutional Neural Networks in Face Recognition
description	Face recognition, being one of the most effective applications of image analysis, has recently received a lot of attention due to the huge implication in human?computer interaction (HCI). As the availability and eligibility to detect a person?s facial features, face recognition technology has been used in biometric detection applications as uses certain aspects of a person?s physiology to identify them. In addition, Deep Learning, under the subset of machine learning, can solve various problems, especially in image processing and face recognition. The advancement and development of Deep Learning can also enhance the use of the Convolution Neural Network (CNN) as the predominant model in the field of face recognition. The paper discusses the systems based on CNN approaches and algorithms and provides a review of the CNN face recognition approach. Furthermore, each paper?s details, such as used datasets, techniques, architecture, and obtained findings, hence the application are fully summarized and analyzed. ? The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.
author2	55916175500
author_facet	55916175500 Baharum A. Halamy S. Ismail R. Abdul Rahim E. Mat Noor N.A. Deris F.D.
format	Conference paper
author	Baharum A. Halamy S. Ismail R. Abdul Rahim E. Mat Noor N.A. Deris F.D.
author_sort	Baharum A.
title	Revolutionizing Human?Computer Interaction: Unraveling the Power of Deep Learning Convolutional Neural Networks in Face Recognition
title_short	Revolutionizing Human?Computer Interaction: Unraveling the Power of Deep Learning Convolutional Neural Networks in Face Recognition
title_full	Revolutionizing Human?Computer Interaction: Unraveling the Power of Deep Learning Convolutional Neural Networks in Face Recognition
title_fullStr	Revolutionizing Human?Computer Interaction: Unraveling the Power of Deep Learning Convolutional Neural Networks in Face Recognition
title_full_unstemmed	Revolutionizing Human?Computer Interaction: Unraveling the Power of Deep Learning Convolutional Neural Networks in Face Recognition
title_sort	revolutionizing human?computer interaction: unraveling the power of deep learning convolutional neural networks in face recognition
publisher	Springer Science and Business Media Deutschland GmbH
publishDate	2025
_version_	1826077472996720640
score	13.244413

Revolutionizing Human?Computer Interaction: Unraveling the Power of Deep Learning Convolutional Neural Networks in Face Recognition

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