Biometric recognition refers to the automated recognition of individuals based on their
biological and behavioral characteristics such as fingerprint, face, iris, and voice. The first …

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 …

Systems incorporating biometric technologies have become ubiquitous in personal,
commercial, and governmental identity management applications. Both cooperative (eg …

Face recognition (FR) systems have a growing effect on critical decision-making processes.
Recent works have shown that FR solutions show strong performance differences based on …

This paper addresses the very low resolution (VLR) problem in face recognition in which the
resolution of the face image to be recognized is lower than 16× 16. With the increasing …

Visual recognition research often assumes a sufficient resolution of the region of interest
(ROI). That is usually violated in practice, inspiring us to explore the Very Low Resolution …

Media reports have accused face recognition of being “biased”,“sexist” and “racist”. There is
consensus in the research literature that face recognition accuracy is lower for females, who …

We present a comprehensive analysis of how and why face recognition accuracy differs
between men and women. We show that accuracy is lower for women due to the …

The two underlying premises of automatic face recognition are uniqueness and
permanence. This paper investigates the permanence property by addressing the following …

Many recent news headlines have labeled face recognition technology as" biased" or"
racist". We report on a methodical investigation into differences in face recognition accuracy …