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 …

Object detection and segmentation represents the basis for many tasks in computer and
machine vision. In biometric recognition systems the detection of the region‐of‐interest (ROI) …

Ear detection represents one of the key components of contemporary ear recognition
systems. While significant progress has been made in the area of ear detection over recent …

Ear biometrics has generated an increased interest in the domain of biometric identification
systems due to its robustness and covert acquisition potential. The external structure of the …

This paper proposes an efficient technique for automatic localization of ear from side face
images. The technique is rotation, scale and shape invariant and makes use of the …

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 …

In this paper, an overall framework has been presented for person verification using ear
biometric which uses tunable filter bank as local feature extractor. The tunable filter bank …

Ear recognition has seen multiple improvements in recent years and still remains very active
today. However, it has been approached from recognition and detection perspective …

Most ear recognition techniques use cropped ear images, as they are, with backgrounds,
hair, part of the face or neck skin, and even cloths. These non-ear pixels of the image can …

This paper presents a technique for ear detection from 2D profile face images that is capable
of significantly reducing the false positives. In an ear biometrics system, recognition …