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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 12, ISSUE 2, FEBRUARY 2023

AGE INVARIANT FACE RECOGNITION USING CONVOLUTIONAL NEURAL NETWORK FOR FACE IDENTIFICATION

Prof. Mohan, Kamal Stewart SM, Pudota Raj Kumar, BS Sumukh Urs, Aryan Ajay BK J

DOI: 10.17148/IJARCCE.2023.12257

Abstract: One of the most popular technologies in the world of image processing nowadays is face recognition across age groups. has become a very prevalent and challenging task in the realm of face recognition. Notwithstanding the numerous contributions made in this sector by professionals and researchers, there is still a substantial gap that has to be filled... Using the appropriate feature extraction and classification techniques is essential in this sector. A Convolutional neural networks combine feature extraction and classification in a single structure for deep learning. Using CNN architecture to recognise facial pictures as a person matures has overcome the issue of ageing. The Extensive experimentation has been used to evaluate the effectiveness of the suggested system.

Keywords: Feature Extraction, CNN, Face Recognition, Deep Learning.

How to Cite:

[1] Prof. Mohan, Kamal Stewart SM, Pudota Raj Kumar, BS Sumukh Urs, Aryan Ajay BK J, “AGE INVARIANT FACE RECOGNITION USING CONVOLUTIONAL NEURAL NETWORK FOR FACE IDENTIFICATION,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2023.12257