The lack of resolution of imaging systems has critically adverse impacts on the recognition
and performance of biometric systems, especially in the case of long range biometrics and …

Multimodal biometric systems have been widely applied in many real-world applications due
to its ability to deal with a number of significant limitations of unimodal biometric systems …

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 …

Event detection is a challenging stage in eye movement data analysis. A major drawback of
current event detection methods is that parameters have to be adjusted based on eye …

Biometric verification systems are currently being deployed in numerous large-scale and
everyday applications. It is hence of the utmost importance to protect the privacy of the …

We provide an introduction to Multiple Classifier Systems (MCS) including basic
nomenclature and describing key elements: classifier dependencies, type of classifier …

Most existing biometric systems designed for healthcare applications only use biometrics for
authentication/access control without considering its other function-data encryption. In this …

This paper surveys the literature on forensic face recognition (FFR), with a particular focus
on the strength of evidence as used in a court of law. FFR is the use of biometric face …

In spite of the increasing concerns raised by privacy advocates against the intrusive
deployment of large scale surveillance cameras, the research community has progressed …

The growing use of control access systems based on face recognition shed light over the
need for even more accurate systems to detect face spoofing attacks. In this paper, an …