Biometric Authentication System

Biometric authentication systems aim to verify identity using unique biological traits, addressing security needs across various applications. Current research emphasizes improving accuracy and robustness in challenging real-world conditions, focusing on multimodal approaches (combining traits like face and body features), and advanced machine learning models such as convolutional neural networks (CNNs) and deep residual networks for feature extraction and classification. This field is crucial for enhancing security and privacy, with ongoing efforts to mitigate vulnerabilities like spoofing attacks and improve the reliability of biometric systems in diverse contexts.