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 …

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 …

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 …

For contactless palm vein images, particularly substantial changes in hand positioning
between one image and the next, it is difficult to achieve a satisfactory recognition …

In the recent years, we have witnessed the rapid development of face recognition, though it
is still plagued by variations such as facial expressions, pose, and occlusion. In contrast to …

The capabilities of biometric systems have recently made extraordinary leaps by the
emergence of deep learning. However, due to the lack of enough training data, the …

A novel multimodal biometric system is proposed using three‐dimensional (3D) face and ear
for human recognition. The proposed model overcomes the drawbacks of unimodal …

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 …

We present automatic extraction of local 3D features (L3DF) from ear and face biometrics
and their combination at the feature and score levels for robust identification. To the best of …

This paper proposes an ear recognition technique which makes use of 3D along with co-
registered 2D ear images. It presents a two-step matching technique to compare two 3D …