Tag: Biometrics

Researchers have developed DELTA, an unsupervised domain adaptation model that combines a grouped divergence attention module with self-paced deep clustering ...

Researchers have developed a transformer-based framework with local-global attention that identifies writers from scanned handwriting without reading the text, achieving ...

Researchers in India have developed a multi-phase fusion architecture that identifies stable, consistent features across a writer's genuine signatures, achieving ...

A new review of 61 studies reveals that the explainability and privacy protections required for trustworthy medical and biometric deep ...

Researchers have developed MFKR Net, a lightweight deep learning model that identifies individuals from contactless middle finger knuckle images with ...

Researchers at Sapienza University of Rome have built AirSign, a VR authentication system that verifies users by recognizing three-dimensional signatures ...

A variational autoencoder trained only on healthy motion capture data can distinguish sex, speed and gait type while generating realistic ...

A new neural network called CDGaitFusion fuses shared motion patterns with individual-specific features to recognize people by their gait despite ...

A new robust learning framework from Zhejiang University addresses identity misalignment in unsupervised visible-infrared person re-identification, improving cross-modality retrieval under ...

The world of machine learning and artificial intelligence has reached a remarkable milestone with the awarding of the prestigious BBVA ...