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 …

Automatic person identification from ear images is an active field of research within the
biometric community. Similar to other biometrics such as face, iris and fingerprints, ear also …

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 …

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 …

The overall objective in defining feature space is to reduce the dimensionality of the original
pattern space, whilst maintaining discriminatory power for classification. To meet this …

The development of ion-pair receptors, with the goal of achieving a higher level of control
over recognition than that obtainable from simple ion binding, has intrigued researchers in …

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 …