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Alshazly et al., 2020 - Google Patents

Deep convolutional neural networks for unconstrained ear recognition

Alshazly et al., 2020

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Document ID
15259135673387706176
Author
Alshazly H
Linse C
Barth E
Martinetz T
Publication year
Publication venue
IEEE Access

External Links

Snippet

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 insufficient to …
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Classifications

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    • G06K9/6217Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
    • G06K9/6232Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods
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