Research on facial recognition system based on deep learning

Abstract

This essay explores the integration of deep learning techniques in facial recognition, delving into the advancements, challenges, and prospects in future of this transformative technology. Deep learning, a subset of artificial intelligence, has revolutionized facial recognition by enabling automatic feature learning and robust representations from raw facial data. This paper examines the key components of deep learning in facial recognition, including feature extraction, facial alignment, and face recognition. It highlights the advantages of using deep learning over traditional methods by analysing related research. It also addresses the challenges deep learning faces in facial recognition, such as data bias, privacy concerns, and adversarial attacks. The essay also explores the promising future of deep learning in facial recognition, with ongoing research aiming to improve robustness, fairness, and privacy preservation.