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Handwritten Chinese Character Recognition by Convolutional Neural Network and Similarity Ranking

Handwritten Chinese Character Recognition by Convolutional Neural Network and Similarity Ranking

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2283170587

Handwritten Chinese Character Recognition by Convolutional Neural Network and Similarity Ranking

About this item

Full title

Handwritten Chinese Character Recognition by Convolutional Neural Network and Similarity Ranking

Publisher

Ithaca: Cornell University Library, arXiv.org

Journal title

arXiv.org, 2019-08

Language

English

Formats

Publication information

Publisher

Ithaca: Cornell University Library, arXiv.org

More information

Scope and Contents

Contents

Convolution Neural Networks (CNN) have recently achieved state-of-the art performance on handwritten Chinese character recognition (HCCR). However, most of CNN models employ the SoftMax activation function and minimize cross entropy loss, which may cause loss of inter-class information. To cope with this problem, we propose to combine cross entropy...

Alternative Titles

Full title

Handwritten Chinese Character Recognition by Convolutional Neural Network and Similarity Ranking

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2283170587

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2283170587

Other Identifiers

E-ISSN

2331-8422

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