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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Jien J.Y.W.; Baharum A.; Wahab S.H.A.; Saad N.; Omar M.; Noor N.A.M. |
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| spelling |
Jien J.Y.W.; Baharum A.; Wahab S.H.A.; Saad N.; Omar M.; Noor N.A.M. 2-s2.0-85086924714 Age-based facial recognition using convoluted neural network deep learning algorithm 2020 IAES International Journal of Artificial Intelligence 9 3 10.11591/ijai.v9.i3.pp424-428 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85086924714&doi=10.11591%2fijai.v9.i3.pp424-428&partnerID=40&md5=1672f191f965392fdd6b779fdd0620ae 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, Institute of Advanced Engineering and Science. All rights reserved. Institute of Advanced Engineering and Science 20894872 English Article All Open Access; Gold Open Access; Green Open Access |
| author |
2-s2.0-85086924714 |
| spellingShingle |
2-s2.0-85086924714 Age-based facial recognition using convoluted neural network deep learning algorithm |
| author_facet |
2-s2.0-85086924714 |
| author_sort |
2-s2.0-85086924714 |
| 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 |
| container_title |
IAES International Journal of Artificial Intelligence |
| container_volume |
9 |
| container_issue |
3 |
| doi_str_mv |
10.11591/ijai.v9.i3.pp424-428 |
| url |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85086924714&doi=10.11591%2fijai.v9.i3.pp424-428&partnerID=40&md5=1672f191f965392fdd6b779fdd0620ae |
| 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. © 2020, Institute of Advanced Engineering and Science. All rights reserved. |
| publisher |
Institute of Advanced Engineering and Science |
| issn |
20894872 |
| language |
English |
| format |
Article |
| accesstype |
All Open Access; Gold Open Access; Green Open Access |
| record_format |
scopus |
| collection |
Scopus |
| _version_ |
1828987871823921152 |