Biometric Signal

Biometric signals, unique physiological or behavioral characteristics, are used for automated identification and verification. Current research focuses on improving accuracy and fairness across diverse populations, employing deep learning architectures like Siamese networks and convolutional neural networks for feature extraction and classification, and exploring novel modalities such as lip movements and keystroke dynamics. This field is significant for enhancing security in various applications, from border control to healthcare, while simultaneously addressing crucial ethical concerns like bias and privacy through the development of robust and equitable biometric systems.