With the rapid development of the Mobile Internet and the Industrial Internet of Things, a
variety of applications put forward an urgent demand for user and device identity …

Automated personal identification using the shape of the human ear is emerging as an
appealing modality in biometric and forensic domains. This is mainly due to the fact that the …

Biometrics identification using multiple modalities has attracted the attention of many
researchers as it produces more robust and trustworthy results than single modality …

Ear recognition is an emerging research area in image‐based biometrics. The commercial
availability of lenslet light field cameras able to capture full spatio‐angular information has …

Gender classification attracted the attention of researchers in computer vision for its use in
many applications. Researches have addressed this issue based on facial images. In this …

An ear recognition system represents a powerful tool in forensic applications. Even in case
the facial characteristic of a suspect is partly or fully covered an image of the outer ear may …

Orientation information is critical to the accuracy of ear recognition systems. In this paper, a
new feature extraction approach is investigated for ear recognition by using orientation …

Context: The topic is permitted from modern topics of interest for researchers to find logical
solutions to problems of detection and recognition for ear identification. Therefore, we are …

遮挡是人耳识别中一个难以回避的问题, 当人耳被遮挡时绝大多数人耳识别算法性能会大大降低
. 借鉴人类视觉认知特性, 将非负稀疏表示用于遮挡情况下的人耳识别, 提出一种更为鲁棒的遮挡 …

In this paper, we present an automated system for robust biometric recognition based upon
sparse representation and dictionary learning. In sparse representation, extracted features …