Image Quality Assessment for Effective Ear Recognition
Author:
Affiliation:
1. Lane Department of Computer Science and Electrical Engineering, West Virginia University, Morgantown, WV, USA
2. School of Electrical and Computer Engineering, University of Georgia, Athens, GA, USA
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/9668973/09887947.pdf?arnumber=9887947
Reference67 articles.
1. Unconstrained ear detection using ensemble‐based convolutional neural network model
2. Ear Detection in the Wild Using Faster R-CNN Deep Learning
3. Ear recognition: More than a survey
4. A survey on ear biometrics
5. A Study on Human Recognition Using Auricle and Side View Face Images
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2. Lightweight Human Ear Recognition Based on Attention Mechanism and Feature Fusion;Applied Sciences;2023-07-21
3. An Efficient Ear Biometric Authentication System;2023 2nd International Conference on Vision Towards Emerging Trends in Communication and Networking Technologies (ViTECoN);2023-05-05
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