Tag: Biometrics

A compact single-capture 3D imaging system originally developed for aesthetic medicine produced photorealistic, metrically scaled models of simulated face and ...

Pretrained convolutional neural networks classified biological sex from smartphone photographs of palatal rugae with up to 77 percent accuracy in ...

A prototype attendance system called Smart Click recognizes enrolled faces in group photographs with 95.26 percent accuracy, rejecting unknown faces ...

A CLAHE–Gabor–Vision Transformer pipeline outperformed five alternatives on 100 grayscale palmprint images in a small-scale computational study.

An experimental study in Cluster Computing shows that footwear variety, microphone distance, and sample length shape how well people can ...

A hybrid deep learning framework combining Siamese networks and Vision Transformers achieves up to 95 percent accuracy in verifying parent-child ...

Every time a traveler passes through an automated border control gate at a major international airport, a face verification system ...

A new deep learning architecture called FrDPalmNet combines fractional calculus, dual attention, and densely connected blocks to push palmprint-based biometric ...

Researchers have combined YOLOv12 detection, capsule networks, reinforcement learning, and Harris Hawks Optimization into a real-time face detection framework that ...

Chinese researchers have developed CDCNet, a deep learning framework that recognizes fine-grained barefoot footprint regions with 83.2 percent mean Average ...