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.
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DOI:
10.17148/IJARCCE.2023.12257
[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
