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 …
Biometrics recognition using deep learning: A survey
In the past few years, deep learning-based models have been very successful in achieving
state-of-the-art results in many tasks in computer vision, speech recognition, and natural …
state-of-the-art results in many tasks in computer vision, speech recognition, and natural …
[HTML][HTML] Interpol review of fingermarks and other body impressions 2016–2019
This review paper covers the forensic-relevant literature in fingerprint and bodily impression
sciences from 2016 to 2019 as a part of the 19th Interpol International Forensic Science …
sciences from 2016 to 2019 as a part of the 19th Interpol International Forensic Science …
Multi-modality behavioral influence analysis for personalized recommendations in health social media environment
Recently, health social media have engaged more and more people to share their personal
feelings, opinions, and experience in the context of health informatics, which has drawn …
feelings, opinions, and experience in the context of health informatics, which has drawn …
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 …
Ear recognition with ensemble classifiers; A deep learning approach
M Sharkas - Multimedia Tools and Applications, 2022 - Springer
Biometrics has emerged as a major domain for security systems. Ear as a biometric has
many distinctive features which makes it promising for personal identification systems. In this …
many distinctive features which makes it promising for personal identification systems. In this …
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 …
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 …
Review of ear biometrics
Z Wang, J Yang, Y Zhu - Archives of Computational Methods in …, 2021 - Springer
As one of the most important biometrics, ear biometrics is getting more and more attention.
Ear recognition has unique advantages and can make identification more secure and …
Ear recognition has unique advantages and can make identification more secure and …
A novel approach for ear recognition: learning Mahalanobis distance features from deep CNNs
Recently, deep convolutional neural networks (CNNs) have been used for ear recognition
with the increasing and available ear image databases. However, most known ear …
with the increasing and available ear image databases. However, most known ear …