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Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/112783
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dc.contributor.authorLi, H.-
dc.contributor.authorWang, P.-
dc.contributor.authorYou, M.-
dc.contributor.authorShen, C.-
dc.date.issued2018-
dc.identifier.citationImage and Vision Computing, 2018; 72:14-23-
dc.identifier.issn0262-8856-
dc.identifier.issn1872-8138-
dc.identifier.urihttp://hdl.handle.net/2440/112783-
dc.description.abstractAbstract not available-
dc.description.statementofresponsibilityHui Li, Peng Wang, Mingyu You, Chunhua Shen-
dc.language.isoen-
dc.publisherElsevier-
dc.rights© 2018 Elsevier B.V. All rights reserved.-
dc.source.urihttp://dx.doi.org/10.1016/j.imavis.2018.02.002-
dc.subjectCar plate detection and recognition; convolutional neural networks; recurrent neural networks; LSTM-
dc.titleReading car license plates using deep neural networks-
dc.typeJournal article-
dc.identifier.doi10.1016/j.imavis.2018.02.002-
dc.relation.granthttp://purl.org/au-research/grants/arc/FT120100969-
pubs.publication-statusPublished-
dc.identifier.orcidShen, C. [0000-0002-8648-8718]-
Appears in Collections:Aurora harvest 3
Computer Science publications

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