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 …

Automatic identity recognition from ear images is an active research topic in the biometric
community. The ability to secretly acquire images of the ear remotely and the stability of the …

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 …

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 …

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 …

Human recognition with biometrics is a rapidly emerging area of computer vision. Compared
to other well-known biometric features such as the face, fingerprint, iris, and palmprint, the …

In this paper we present the results of the Unconstrained Ear Recognition Challenge
(UERC), a group benchmarking effort centered around the problem of person recognition …

The discriminative ability of geometric features can be well supported by empirical studies in
ear recognition. Recently, a number of methods have been suggested for geometric feature …

Ear recognition is an active research area in the biometrics community with the ultimate goal
to recognize individuals effectively from ear images. Traditional ear recognition methods …

The radiation of high-order spinning modes from an unflanged duct with or without a mean
flow is studied numerically. The application is to noise radiation from the intake duct of an …