These days, face recognition systems are widely being employed in various daily
applications such as smart phone unlocking, tracking school attendance, and secure online …

Automatic identity recognition from ear images represents an active field of research within
the biometric community. The ability to capture ear images from a distance and in a covert …

Compared to uni-biometric systems, multi-biometric systems, which fuse multiple biometric
features, can improve recognition accuracy and security. However, due to the challenging …

Finger vein recognition is one of a new biometric recognition technology, which has a wide
range of applications in daily life. However, the quality of finger vein images is less than …

Our given name is a social tag associated with us early in life. This study investigates the
possibility of a self-fulfilling prophecy effect wherein individuals' facial appearance develops …

With built-in artificial intelligence (AI), edge devices, eg, smart cameras, can perform tasks
like detecting and tracking individuals, which is referred to as edge biometrics. As a driving …

Facial recognition for surveillance applications still remains challenging in uncontrolled
environments, especially with the appearances of masks/veils and different ethnicities …

Recent state-of-the-art face recognition (FR) approaches have achieved impressive
performance, yet unconstrained face recognition still represents an open problem. Face …

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

We present a novel 3D face recognition approach based on low-level geometric features
that are collected from the eyes-forehead and the nose regions. These regions are relatively …