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Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/6101
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dc.contributor.authorMa, Yangen
dc.contributor.authorLeedham, Grahamen
dc.date.accessioned2010-06-01T13:30:00Z-
dc.date.issued2007-
dc.identifier.citationPattern Recognition Letters, 28(7), p. 873-883en
dc.identifier.issn1872-7344en
dc.identifier.issn0167-8655en
dc.identifier.urihttps://hdl.handle.net/1959.11/6101-
dc.description.abstractThere is a wish to be able to enter Chinese text into mobile computing devices in real-time at the speed of speech. Handwritten shorthand schemes offer the potential to achieve this data recording rate. A new overall solution to the segmentation and classification of phonetic features in Renqun shorthand, which records Chinese characters phonetically, is proposed in this paper. A new writing rule is introduced to improve the machine readability of Renqun shorthand. Evaluation results show that the introduction of the new rule has a positive effect on the recognition performance. The recognition accuracies for vocalized outlines and shortforms following the new rule achieve 83% and 84.07%, respectively.en
dc.languageenen
dc.publisherElsevier BVen
dc.relation.ispartofPattern Recognition Lettersen
dc.titleOn-line recognition of handwritten Renqun shorthand for fast mobile Chinese text entryen
dc.typeJournal Articleen
dc.identifier.doi10.1016/j.patrec.2006.12.002en
dc.subject.keywordsComputer Visionen
dc.subject.keywordsImage Processingen
dc.subject.keywordsPattern Recognition and Data Miningen
local.contributor.firstnameYangen
local.contributor.firstnameGrahamen
local.subject.for2008080109 Pattern Recognition and Data Miningen
local.subject.for2008080104 Computer Visionen
local.subject.for2008080106 Image Processingen
local.subject.seo2008890299 Computer Software and Services not elsewhere classifieden
local.subject.seo2008810107 National Securityen
local.subject.seo2008810199 Defence not elsewhere classifieden
local.profile.schoolSchool of Science and Technologyen
local.profile.emailcleedham@une.edu.auen
local.output.categoryC1en
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.identifier.epublicationsrecordune-20100415-142651en
local.publisher.placeNetherlandsen
local.format.startpage873en
local.format.endpage883en
local.identifier.scopusid33847029568en
local.peerreviewedYesen
local.identifier.volume28en
local.identifier.issue7en
local.contributor.lastnameMaen
local.contributor.lastnameLeedhamen
dc.identifier.staffune-id:cleedhamen
local.profile.roleauthoren
local.profile.roleauthoren
local.identifier.unepublicationidune:6257en
dc.identifier.academiclevelAcademicen
local.title.maintitleOn-line recognition of handwritten Renqun shorthand for fast mobile Chinese text entryen
local.output.categorydescriptionC1 Refereed Article in a Scholarly Journalen
local.search.authorMa, Yangen
local.search.authorLeedham, Grahamen
local.uneassociationUnknownen
local.year.published2007en
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