Biometric Recognition

Biometric recognition aims to identify or authenticate individuals based on their unique biological traits, striving for high accuracy and security. Current research emphasizes improving robustness against various challenges, including image quality degradation (e.g., from compression or distance), spoofing attacks, and occlusions, often employing deep learning architectures like convolutional neural networks (CNNs) and transformers, sometimes in combination with graph-based methods. These advancements have significant implications for security, law enforcement, and access control systems, while also raising important ethical and privacy concerns regarding data security and potential biases.