Biometric System

Biometric systems utilize unique human traits for automated identity verification, aiming to enhance security and convenience across various applications. Current research heavily emphasizes improving accuracy and fairness across diverse demographics, employing deep learning architectures like ResNet, EfficientNet, and transformers, alongside novel fairness metrics to address biases in performance. This field is crucial for advancing secure authentication methods and mitigating privacy concerns, impacting areas ranging from border control and financial transactions to healthcare and law enforcement.