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 …

This paper proposes a method for human recognition based on 3D ears and makes two
important contributions. First, it proposes a global 3D descriptor, and second, it proposes a …

This study presents a novel approach for human recognition using co‐registered three‐
dimensional (3D) and 2D ear images. The proposed technique is based on local feature …

We present a complete three-dimensional (3-D) ear recognition system combining local and
holistic features in a computationally efficient manner. The system is comprised of four …

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 …

Biometrics deals with recognition of individuals based on their physiological or behavioral
characteristics. The human ear is a new feature in biometrics that has several merits over the …

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 …

We present results of the largest experimental investigation of 3D ear biometrics to date. ICP-
based approaches are carefully explored, and the best rank one recognition rate achieves …

We present a complete, Three-Dimensional (3D) object recognition system combining local
and holistic features in a computationally efficient manner. An evaluation of the proposed …

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 …