Abstract
Facial Recognition possesses great importance in today’s tech-savvy world and is considered one of the prominent biometric replacements to the traditional techniques of PINs and Passwords. A stored database of images is exploited using the image processing techniques available and feature extraction, identification, and classification are done using various algorithms. The techniques used for this whole process are based on machine learning because of its higher accuracy and better efficiency than other techniques available. Face recognition is accomplished using the sub-field of Deep learning, i.e., Convolutional Neural Networks. It is typically a multi-layer neural network of neurons, trained to perform discrete tasks using extraction and classification.
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Rane, M. et al. (2023). Face Recognition Using Convolutional Neural Network (CNN). In: Senjyu, T., So–In, C., Joshi, A. (eds) Smart Trends in Computing and Communications. SMART 2023. Lecture Notes in Networks and Systems, vol 645. Springer, Singapore. https://doi.org/10.1007/978-981-99-0769-4_20
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DOI: https://doi.org/10.1007/978-981-99-0769-4_20
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