A Comprehensive Study on Artificial Intelligence-Based Face Recognition Technologies
摘要
Face recognition technology is a technique that recognizes and authenticates individuals based on their unique facial features. It has various applications, including security, access control, identity verification, and social media tagging. These systems use algorithms to analyze facial traits and create a facial template for comparison with a database of known faces. Advances in machine learning and computer vision have improved the accuracy of face recognition technology. However, concerns about the privacy and security implications of biometric data collection and storage have arisen. This paper provides an overview of the history, techniques, algorithms, applications, performance evaluation metrics, challenges, and future directions of face recognition technology.