Deep Convolutional Neural Networks for Unconstrained Ear Recognition
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3024116
Abstract: 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 recognition on the unconstrained EarVN1.0 dataset. As the dataset size is still… read more here.
Keywords: networks unconstrained; neural networks; deep convolutional; ear recognition ... See more keywords
Towards Explainable Ear Recognition Systems Using Deep Residual Networks
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DOI: 10.1109/access.2021.3109441
Abstract: 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 three different transfer learning strategies to address the ear recognition… read more here.
Keywords: performance; residual networks; towards explainable; deep residual ... See more keywords
Non-Decimated Wavelet Based Multi-Band Ear Recognition Using Principal Component Analysis
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2021.3139684
Abstract: Principal Component Analysis (PCA) has been successfully applied to many applications, including ear recognition. This paper presents a 2D Wavelet based Multi-Band Principal Component Analysis (2D-WMBPCA) ear recognition method, inspired by PCA based techniques for… read more here.
Keywords: ear recognition; principal component; wavelet; component analysis ... See more keywords
Image Quality Assessment for Effective Ear Recognition
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3206024
Abstract: Due to the recent challenges in access control, surveillance and security, there is an increased need for efficient human authentication solutions. Ear recognition is an appealing choice where the data acquisition procedure is contactless, non-intrusive,… read more here.
Keywords: recognition; quality assessment; image quality; ear recognition ... See more keywords
Privacy Preserving Ear Recognition System Using Transfer Learning in Industry 4.0
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2022.3196343
Abstract: This article presents an Industry 4.0 compliant ear biometric recognition technique using dense convolutional network (DenseNet), a well-known convolutional neural network model. Compared to other biometric traits, ear recognition has been a challenge due to… read more here.
Keywords: recognition; ear recognition; preserving ear; privacy preserving ... See more keywords
Ear recognition via sparse coding of local features
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Electronic Imaging"
DOI: 10.1117/1.jei.27.1.013007
Abstract: Abstract. An efficient scheme for human ear recognition is presented. This scheme comprises three main phases. First, the ear image is decomposed into a pyramid of progressively downgraded images, which allows the local patterns of… read more here.
Keywords: sparse coding; local features; via sparse; recognition via ... See more keywords
A novel discriminant multiscale representation for ear recognition
Sign Up to like & getrecommendations! Published in 2019 at "International Journal of Biometrics"
DOI: 10.1504/ijbm.2019.10016808
Abstract: This paper proposes a novel representation for ear recognition. It introduces a new alternative of binarised statistical image features based on multiscale framework. The proposed representation allows capturing the image content at multiple resolutions. The… read more here.
Keywords: representation; novel discriminant; image; representation ear ... See more keywords
Lightweight YOLOv5s Human Ear Recognition Based on MobileNetV3 and Ghostnet
Sign Up to like & getrecommendations! Published in 2023 at "Applied Sciences"
DOI: 10.3390/app13116667
Abstract: Ear recognition is a biometric identification technology based on human ear feature information, which can not only detect the human ear in the picture but also determine whose human ear it is, so human identity… read more here.
Keywords: recognition; network; yolov5s; ear recognition ... See more keywords
PointNet++ and Three Layers of Features Fusion for Occlusion Three-Dimensional Ear Recognition Based on One Sample per Person
Sign Up to like & getrecommendations! Published in 2020 at "Symmetry"
DOI: 10.3390/sym12010078
Abstract: The ear’s relatively stable structure makes it suitable for recognition. In common identification applications, only one sample per person (OSPP) is registered in a gallery; consequently, effectively training deep-learning-based ear recognition approach is difficult. The… read more here.
Keywords: feature; recognition; ear recognition; fusion ... See more keywords