Identity management through biometrics offer potential advantages over knowledge and
possession based methods. A wide variety of biometric modalities have been tested so far …

Latent fingerprints are considered as one of the important evidences obtained from the site
of crime. The process of develo**, acquiring, processing and matching of latent …

Latent fingerprints are one of the most important and widely used evidence in law
enforcement and forensic agencies worldwide. Yet, NIST evaluations show that the …

Minutiae extraction is of critical importance in automated fingerprint recognition. Previous
works on rolled/slap fingerprints failed on latent fingerprints due to noisy ridge patterns and …

Fingerprint recognition has found a reliable application for verification or identification of
people in biometrics. Globally, fingerprints can be viewed as valuable traits due to several …

In this work, we propose a novel latent fingerprint enhancement method based on FingerNet
inspired by recent development of Convolutional Neural Network (CNN). Although CNN is …

The use of vision transformers (ViT) in computer vision is increasing due to its limited
inductive biases (eg, locality, weight sharing, etc.) and increased scalability compared to …

Identifying latent fingerprints is of vital importance for law enforcement agencies to
apprehend criminals and terrorists. Compared to live-scan and inked fingerprints, the image …

Latent fingerprint identification is such a difficult task to law enforcement agencies and
border security in identifying suspects. It is a too complicate due to poor quality images with …

Identifying suspects based on impressions of fingers lifted from crime scenes (latent prints) is
a routine procedure that is extremely important to forensics and law enforcement agencies …