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Age-based facial recognition using convoluted neural network deep learning algorithm

Face recognition is the use of biometric innovations that can see or validate a person by seeing and investigating designs depending on the shape of the individual. Face recognition is used largely for the purpose of well-being, despite the fact that passion for different areas of use is growing. Ov...

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Main Authors: Julius Yong Wu Jien, Aslina Baharum, Shaliza Hayati A. Wahab, Nordin Saad, Muhammad Omar, Noorsidi Aizuddin Mat Noor
Format: Article
Language:English
English
Published: 2020
Subjects:
Q Science (General)
Online Access:https://eprints.ums.edu.my/id/eprint/26251/1/Age-based%20facial%20recognition%20using%20convoluted%20neural%20network%20deep%20learning%20algorithm.pdf
https://eprints.ums.edu.my/id/eprint/26251/2/Age-based%20facial%20recognition%20using%20convoluted%20neural%20network%20deep%20learning%20algorithm1.pdf
https://eprints.ums.edu.my/id/eprint/26251/
https://doi.org/10.11591/ijai.v9.i3.pp424-428
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spelling my.ums.eprints.262512021-04-05T08:06:46Z https://eprints.ums.edu.my/id/eprint/26251/ Age-based facial recognition using convoluted neural network deep learning algorithm Julius Yong Wu Jien Aslina Baharum Shaliza Hayati A. Wahab Nordin Saad Muhammad Omar Noorsidi Aizuddin Mat Noor Q Science (General) Face recognition is the use of biometric innovations that can see or validate a person by seeing and investigating designs depending on the shape of the individual. Face recognition is used largely for the purpose of well-being, despite the fact that passion for different areas of use is growing. Overall, face recognition innovations are worth considering because they have the potential for broad legal jurisdiction and different business applications. It is widely used in many spaces. How it works is a product of facial recognition processing facial geometry. The hole between the ear and the good way from the front to the jaw are the main variables. This code distinguishes the highlight of the face that is important for your facial separation and creates your facial expression. Therefore, this study gives an overview of age detection using a different combination of machine learning and image processing methods on the image dataset. 2020 Article PeerReviewed text en https://eprints.ums.edu.my/id/eprint/26251/1/Age-based%20facial%20recognition%20using%20convoluted%20neural%20network%20deep%20learning%20algorithm.pdf text en https://eprints.ums.edu.my/id/eprint/26251/2/Age-based%20facial%20recognition%20using%20convoluted%20neural%20network%20deep%20learning%20algorithm1.pdf Julius Yong Wu Jien and Aslina Baharum and Shaliza Hayati A. Wahab and Nordin Saad and Muhammad Omar and Noorsidi Aizuddin Mat Noor (2020) Age-based facial recognition using convoluted neural network deep learning algorithm. IAES International Journal of Artificial Intelligence (IJ-AI), 9 (3). pp. 424-428. ISSN 2252-8938 https://doi.org/10.11591/ijai.v9.i3.pp424-428
institution Universiti Malaysia Sabah
building UMS Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Sabah
content_source UMS Institutional Repository
url_provider http://eprints.ums.edu.my/
language English
English
topic Q Science (General)
spellingShingle Q Science (General)
Julius Yong Wu Jien
Aslina Baharum
Shaliza Hayati A. Wahab
Nordin Saad
Muhammad Omar
Noorsidi Aizuddin Mat Noor
Age-based facial recognition using convoluted neural network deep learning algorithm
description Face recognition is the use of biometric innovations that can see or validate a person by seeing and investigating designs depending on the shape of the individual. Face recognition is used largely for the purpose of well-being, despite the fact that passion for different areas of use is growing. Overall, face recognition innovations are worth considering because they have the potential for broad legal jurisdiction and different business applications. It is widely used in many spaces. How it works is a product of facial recognition processing facial geometry. The hole between the ear and the good way from the front to the jaw are the main variables. This code distinguishes the highlight of the face that is important for your facial separation and creates your facial expression. Therefore, this study gives an overview of age detection using a different combination of machine learning and image processing methods on the image dataset.
format Article
author Julius Yong Wu Jien
Aslina Baharum
Shaliza Hayati A. Wahab
Nordin Saad
Muhammad Omar
Noorsidi Aizuddin Mat Noor
author_facet Julius Yong Wu Jien
Aslina Baharum
Shaliza Hayati A. Wahab
Nordin Saad
Muhammad Omar
Noorsidi Aizuddin Mat Noor
author_sort Julius Yong Wu Jien
title Age-based facial recognition using convoluted neural network deep learning algorithm
title_short Age-based facial recognition using convoluted neural network deep learning algorithm
title_full Age-based facial recognition using convoluted neural network deep learning algorithm
title_fullStr Age-based facial recognition using convoluted neural network deep learning algorithm
title_full_unstemmed Age-based facial recognition using convoluted neural network deep learning algorithm
title_sort age-based facial recognition using convoluted neural network deep learning algorithm
publishDate 2020
url https://eprints.ums.edu.my/id/eprint/26251/1/Age-based%20facial%20recognition%20using%20convoluted%20neural%20network%20deep%20learning%20algorithm.pdf
https://eprints.ums.edu.my/id/eprint/26251/2/Age-based%20facial%20recognition%20using%20convoluted%20neural%20network%20deep%20learning%20algorithm1.pdf
https://eprints.ums.edu.my/id/eprint/26251/
https://doi.org/10.11591/ijai.v9.i3.pp424-428
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score 13.211869

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