NDLI: Unconstrained ear recognition using deep neural networks

Content Provider	IET Digital Library
Author	Dodge, Samuel Mounsef, Jinane Karam, Lina
Abstract	The authors perform unconstrained ear recognition using transfer learning with deep neural networks (DNNs). First, they show how existing DNNs can be used as a feature extractor. The extracted features are used by a shallow classifier to perform ear recognition. Performance can be improved by augmenting the training dataset with small image transformations. Next, they compare the performance of the feature-extraction models with fine-tuned networks. However, because the datasets are limited in size, a fine-tuned network tends to over-fit. They propose a deep learning-based averaging ensemble to reduce the effect of over-fitting. Performance results are provided on unconstrained ear recognition datasets, the AWE and CVLE datasets as well as a combined AWE + CVLE dataset. They show that their ensemble results in the best recognition performance on these datasets as compared to DNN feature-extraction based models and single fine-tuned models.
Starting Page	207
Ending Page	214
Page Count	8
ISSN	20474938
Volume Number	7
e-ISSN	20474946
Issue Number	Issue 3, May (2018)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-bmt/7/3
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-bmt.2017.0208
Journal	IET Biometrics
Publisher Date	2018-01-22
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Combined AWE + CVLE Dataset Computer Vision And Image Processing Technique Deep Learning-based Averaging Ensemble Deep Neural Network DNNs Ear Feature Extraction Feature Extractor Feature-extraction Model Image Classification Image Recognition Knowledge Engineering Technique Learning in AI Neural Computing Technique Neural Nets Shallow Classifier Training Dataset Transfer Learning Unconstrained Ear Recognition Datasets
Content Type	Text
Resource Type	Article
Subject	Signal Processing Computer Vision and Pattern Recognition Software

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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