Given a full fingerprint image (rolled or slap), we present CycleGAN models to generate
multiple latent impressions of the same identity as the full print. Our models can control the …

Machine learning methods are growing in relevance for biometrics and personal information
processing in domains such as forensics, e-health, recruitment, and e-learning. In these …

People can fail to notice objects and events in their visual environment when their attention
is engaged elsewhere. This phenomenon is known as inattentional blindness, and its …

Latent fingerprints play a pivotal role in the forensics for the investigation of the crimes.
Mostly, latent fingerprints found at the crime scene are partial prints. Thus, fingerprint …

Latent palmprints represent crucial forensic evidence in criminal investigations,
necessitating their storage in governmental databases. The identification of corresponding …

The identification of users through their fingerprints has been widely used in various
applications such as biometrics, border control identification, payment gateways and so on …

This paper presents a singular point and pattern type model for the investigation of
fingerprint individuality. The extraction of the singular point is based on the modified …

Latent palmprints represent crucial forensic evidence in criminal investigations,
necessitating their storage in governmental databases. The identification of corresponding …