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 …

Biometric systems are used for the verification and identification of individuals using their
physiological or behavioral features. These features can be categorized into unimodal and …

This paper investigates a new approach for the automated human identification using 2D
ear imaging. We present a completely automated approach for the robust segmentation of …

A system is provided in which a person may use a Cellular (Mobile) Telephone, a PDA or
any other handheld computer to make a purchase. This is an example only. The process …

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 …

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 …

The authors perform unconstrained ear recognition using transfer learning with deep neural
networks (DNNs). First, they show how existing DNNs can be used as a feature extractor …

Automated personal identification using localized ear images has wide range of civilian and
law-enforcement applications. This paper investigates a new approach for more accurate …

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 …