Automatic latent fingerprint identification is beneficial during forensic investigations. Usually,
latent fingerprint identification algorithms are used to find a subset of similar fingerprints from …

Background Many gait based methods have been presented about biometric identification in
the literature. Gait recognition methods have generally used images and sensors signals. In …

An efficient biometrics-based security system is the prime need in modern security industry.
Biometric modalities are unique features of any human being based on which a computer …

Biometric authentication systems raise certain concerns with regard to security, violation of
privacy, and storage issues of biometric templates. This paper proposes a protection …

Biometrics techniques are the standard of a wide group of many applications for a human's
identification and verification issues. Because of this reason, a high scale of security needs …

Handimages are of paramount importance within critical domains like security and criminal
investigation. They can sometimes be the only available evidence of an offender's identity at …

In a multimodal biometric recognition system, the integration of multiple features derived
from various biometric modalities seeks to overcome the several drawbacks found in a …

Recently biometric systems have shown improved capabilities because of the remarkable
success of deep learning in solving various computer vision tasks. In ear recognition, the …

We study the impact of minutiae errors in the performance of latent fingerprint identification
systems. We perform several experiments in which we remove ground-truth minutiae from …

Security is a major concern in Electronic Payment (E-Payment) systems. Usually, these
systems are protected against illegal users, so-called hackers, by different means, such as …