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 …

Recognizing people by their ear has recently received significant attention in the literature.
Several reasons account for this trend: first, ear recognition does not suffer from some …

Starting with fingerprints more than a hundred years ago, there has been ongoing research
in biometrics. Within the last forty years face and speaker recognition have emerged as …

Researchers have suggested that the ear may have advantages over the face for biometric
recognition. Our previous experiments with ear and face recognition, using the standard …

The authors discuss the notion of variability. We have experienced that this concept has so
far been underdefined, although we have observed that variability techniques become …

The possibility of identifying people by the shape of their outer ear was first discovered by
the French criminologist Bertillon, and refined by the American police officer Iannarelli, who …

The human ear is a perfect source of data for passive person identification in many
applications. In a growing need for security in various public places, ear biometrics seems to …

Previous works have shown that the ear is a promising candidate for biometric identification.
However, in prior work, the preprocessing of ear images has had manual steps and …

Human ear is a new class of relatively stable biometrics that has drawn researchers'
attention recently. In this paper, we propose a complete human recognition system using 3D …

A face-swap deep fake replaces a person's face--from eyebrows to chin--with another face.
A lip-sync deep fake replaces a person's mouth region to be consistent with an …