A comprehensive survey on the biometric recognition systems based on physiological and behavioral modalities
Biometrics is the branch of science that deals with the identification and verification of an
individual based on the physiological and behavioral traits. These traits or identifiers are …
individual based on the physiological and behavioral traits. These traits or identifiers are …
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 …
An improved feature extraction method using texture analysis with LBP for bearing fault diagnosis
Bearings are one of the most widespread components used for energy transformation in
machines. Mechanical wear and faulty bearings reduce the efficiency of rotating machines …
machines. Mechanical wear and faulty bearings reduce the efficiency of rotating machines …
A deep learning approach for person identification using ear biometrics
Automatic person identification from ear images is an active field of research within the
biometric community. Similar to other biometrics such as face, iris and fingerprints, ear also …
biometric community. Similar to other biometrics such as face, iris and fingerprints, ear also …
Ear recognition based on deep unsupervised active learning
Cooperative machine learning has many applications, such as data annotation, where an
initial model trained with partially labeled data is used to predict labels for unseen data …
initial model trained with partially labeled data is used to predict labels for unseen data …
Triple-classification of respiratory sounds using optimized s-transform and deep residual networks
Digital respiratory sounds provide valuable information for telemedicine and smart diagnosis
in an non-invasive way of pathological detection. As the typical continuous abnormal …
in an non-invasive way of pathological detection. As the typical continuous abnormal …
A comprehensive survey and deep learning-based approach for human recognition using ear biometric
Human recognition systems based on biometrics are much in demand due to increasing
concerns of security and privacy. The human ear is unique and useful for recognition. It …
concerns of security and privacy. The human ear is unique and useful for recognition. It …
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 …
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 …