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dc.contributor.authorOn, C. K.en
dc.contributor.authorYau, T. K.en
dc.contributor.authorAlfred, R.en
dc.contributor.authorTeo, J.en
dc.contributor.authorAnthony, Patriciaen
dc.contributor.authorCheng, W.en
dc.date.accessioned2018-03-12T23:47:49Z
dc.date.issued2016en
dc.identifier.citationOn et al. (2016). Backpropagation neural ensemble for localizing and recognizing non-standardized Malaysia's car plates. International Journal on Advanced Science, Engineering and Information Technology, 6(6), 1112-1119. doi:10.18517/ijaseit.6.6.1488en
dc.identifier.issn2088-5334en
dc.identifier.urihttps://hdl.handle.net/10182/9157
dc.description.abstractIn this paper, we describe a research project that autonomously localizes and recognizes non-standardized Malaysian's car plates using conventional Backpropagation algorithm (BPP) in combination with Ensemble Neural Network (ENN). We compared the results with the results obtained using simple Feed-Forward Neural Network (FFNN). This research aims to solve four main issues; (1) localization of car plates that has the same colour with the vehicle colour, (2) detection and recognition of car plates with varying sizes, (3) detection and recognition of car plates with different font types, and (4) detection and recognition of non-standardized car plates. The non-standardized Malaysian's car plates are different from the normal plate as they contain italic characters, a combination of cursive characters, and different font types. The experimental results show that the combination of backpropagation and ENN can be effectively used to solve these four issues. The combination of BPP and ENN's algorithm achieved a localization rate of 98% and a 97% in recognition rate. On the other hand, the combination of backpropagation and simple FFNN recorded a 96% recognition rate.en
dc.format.extent1112-1119en
dc.language.isoenen
dc.publisherINSIGHT - Indonesian Society for Knowledge and Human Developmenten
dc.relationThe original publication is available from - INSIGHT - Indonesian Society for Knowledge and Human Development - https://doi.org/10.18517/ijaseit.6.6.1488en
dc.relation.urihttps://doi.org/10.18517/ijaseit.6.6.1488en
dc.rights© The Authorsen
dc.rights.urihttp://creativecommons.org/licenses/by-sa/4.0/en
dc.subjectcar plate recognitionen
dc.subjectimage processingen
dc.subjectensemble neural networken
dc.subjectfeed-forward neural networken
dc.subjectbackpropagationen
dc.titleBackpropagation neural ensemble for localizing and recognizing non-standardized Malaysia's car platesen
dc.typeJournal Article
lu.contributor.unitLincoln Universityen
lu.contributor.unitFaculty of Environment, Society and Designen
lu.contributor.unitDepartment of Environmental Managementen
lu.contributor.unitResearch Management Officeen
lu.contributor.unit/LU/Research Management Office/2018 PBRF Staff groupen
dc.identifier.doi10.18517/ijaseit.6.6.1488en
dc.subject.anzsrc10 Technologyen
dc.subject.anzsrc1006 Computer Hardwareen
dc.subject.anzsrc170205 Neurocognitive Patterns and Neural Networksen
dc.subject.anzsrc080106 Image Processingen
dc.relation.isPartOfInternational Journal on Advanced Science, Engineering and Information Technologyen
pubs.issue6en
pubs.organisational-group/LU
pubs.organisational-group/LU/Faculty of Environment, Society and Design
pubs.organisational-group/LU/Faculty of Environment, Society and Design/DEM
pubs.organisational-group/LU/Research Management Office
pubs.organisational-group/LU/Research Management Office/2018 PBRF Staff group
pubs.publication-statusPublisheden
pubs.volume6en
dc.identifier.eissn2460-6952en
dc.rights.licenceAttribution-ShareAlikeen
lu.identifier.orcid0000-0002-4991-3340


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