A survey of 3d ear recognition techniques
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 …
to other well-known biometric features such as the face, fingerprint, iris, and palmprint, the …
A comprehensive survey on ear recognition: databases, approaches, comparative analysis, and open challenges
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 …
community. The ability to secretly acquire images of the ear remotely and the stability of the …
Ensembles of deep learning models and transfer learning for ear recognition
The recognition performance of visual recognition systems is highly dependent on extracting
and representing the discriminative characteristics of image data. Convolutional neural …
and representing the discriminative characteristics of image data. Convolutional neural …
Deep convolutional neural networks for unconstrained ear recognition
This paper employs state-of-the-art Deep Convolutional Neural Networks (CNNs), namely
AlexNet, VGGNet, Inception, ResNet and ResNeXt in a first experimental study of ear …
AlexNet, VGGNet, Inception, ResNet and ResNeXt in a first experimental study of ear …
Towards explainable ear recognition systems using deep residual networks
This paper presents ear recognition models constructed with Deep Residual Networks
(ResNet) of various depths. Due to relatively limited amounts of ear images we propose …
(ResNet) of various depths. Due to relatively limited amounts of ear images we propose …
Handcrafted versus CNN features for ear recognition
Ear recognition is an active research area in the biometrics community with the ultimate goal
to recognize individuals effectively from ear images. Traditional ear recognition methods …
to recognize individuals effectively from ear images. Traditional ear recognition methods …
[PDF][PDF] Deep sclera segmentation and recognition
In this chapter, we address the problem of biometric identity recognition from the vasculature
of the human sclera. Specifically, we focus on the challenging task of multi-view sclera …
of the human sclera. Specifically, we focus on the challenging task of multi-view sclera …
Performance analysis of NASNet on unconstrained ear recognition
Recent times are witnessing greater influence of Artificial Intelligence (AI) on identification of
subjects based on biometrics. Traditional biometric recognition algorithms, which were …
subjects based on biometrics. Traditional biometric recognition algorithms, which were …
A feature-level fusion based improved multimodal biometric recognition system using ear and profile face
Ear based identity recognition subject to uncontrolled conditions such as illumination
changes, pose variation, low contrast, partial occlusion and noise, is an active research area …
changes, pose variation, low contrast, partial occlusion and noise, is an active research area …
Robust local oriented patterns for ear recognition
M Hassaballah, HA Alshazly, AA Ali - Multimedia Tools and Applications, 2020 - Springer
Extraction and description of image features is an active research topic and important for
several applications of computer vision field. This paper presents a new noise-tolerant and …
several applications of computer vision field. This paper presents a new noise-tolerant and …