To perform unconstrained face recognition robust to variations in illumination, pose and
expression, this paper presents a new scheme to extract “Multi-Directional Multi-Level Dual …

A fast automated biometric solution has been proposed to satisfy the future border control
needs of airports resulting from the rapid growth in the number of passengers worldwide …

This paper introduces a novel classification strategy based on the monogenic scale space
for target recognition in Synthetic Aperture Radar (SAR) image. The proposed method …

Abstract The coronavirus disease 2019 (COVID-19) has made it mandatory for people all
over the world to wear facial masks to prevent the spread of the virus. The conventional face …

Great progress has been achieved in face recognition in the last three decades. However, it
is still challenging to characterize the identity related features in face images. This paper …

Sometimes realistic face representation is confronted with blur or low-resolution face
images, as a result, existing classification methods are not powerful and robust enough. This …

The human-to-machine and human-to-human communications are transforming to machine-
to-machine communications by which several decision-making systems can be built. When …

Drone-assisted inventory management is attractive for companies with large warehouses
and factories. Additionally, there is an interest in a novel method that automatically detects …

Biometrics is the study of methods for identifying a person based on one or more intrinsic
physical or behavioral traits. After decades of research activities, biometrics has advanced to …

Classical sparse modeling requires accurate alignment between the query and the training
data. This precondition is disadvantageous for target recognition tasks, where, although the …