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Linear Discriminant Analysis – LDA in facial recognition is a powerful statistical method widely used in facial recognition to improve classification accuracy by maximizing the separation between classes. Unlike Principal Component Analysis (PCA), which focuses on reducing dimensionality, LDA optimizes class separability, making it ideal for distinguishing faces in recognition systems. This article explores the […]
Facial Recognition Techniques and Methods Facial recognition technology has become one of the most widely used biometric systems, leveraging advanced algorithms and methods to identify and verify individuals based on facial features. This article explores the various techniques and methods used in facial recognition, focusing on their applications, underlying principles, and advantages. Also read our […]
Introduction Facial recognition technology has rapidly transformed how we interact with devices, access services, and ensure security. From unlocking smartphones to identifying individuals in a crowd, this sophisticated system is reshaping industries worldwide. But how facial recognition works? This article explores the history, types, and technical details of facial recognition technology. We’ll dive into its […]