Fingerprint Biometrics

Fingerprint biometrics focuses on using fingerprint images for reliable and secure authentication, with current research heavily emphasizing improved accuracy and security. Active research areas include developing robust presentation attack detection (PAD) methods, particularly for contactless fingerprint systems, often employing convolutional neural networks (CNNs) and vision transformers (ViTs) to differentiate live fingerprints from spoofs. These advancements are crucial for enhancing security in various applications, from securing Internet of Things (IoT) devices to improving forensic fingerprint identification and accelerating drug discovery through improved molecular docking simulations.