Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/5614
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dc.contributor.authorLeedham, Grahamen
dc.contributor.authorMa, Yangen
dc.contributor.authorBlumenstein, Michaelen
dc.date.accessioned2010-04-19T09:14:00Z-
dc.date.issued2009-
dc.identifier.citationInternational Journal of Pattern Recognition and Artificial Intelligence, 23(5), p. 1031-1051en
dc.identifier.issn1793-6381en
dc.identifier.issn0218-0014en
dc.identifier.urihttps://hdl.handle.net/1959.11/5614-
dc.description.abstractHandwritten shorthand systems were devised to enable writers to record information on paper at fast speeds, ideally at the speed of speech. While they have been in existence for many years it is only since the 17th Century that widespread usage appeared. Several shorthand systems flourished in the first half of the 20th century until the introduction and widespread use of electronic recording and dictation machines in the 1970's. Since then, shorthand usage has been in rapid decline, but has not yet become a lost skill. Pitman shorthand has been shown to possess unique advantages as a means of fast text entry which is particularly applicable to hand-held devices in mobile environments. This paper presents progress and critical research issues for a Pitman/Renqun Shorthand Online Recognition System. Recognition and transcription experiments are reported which indicate that a correct recognition and transcription rate of around 90% is currently possible.en
dc.languageenen
dc.publisherWorld Scientific Publishing Companyen
dc.relation.ispartofInternational Journal of Pattern Recognition and Artificial Intelligenceen
dc.titleHandwritten Shorthand and its Future Potential for Fast Mobile Text Entryen
dc.typeJournal Articleen
dc.identifier.doi10.1142/S0218001409007405en
dc.subject.keywordsImage Processingen
dc.subject.keywordsComputer Visionen
dc.subject.keywordsArtificial Intelligence and Image Processingen
local.contributor.firstnameGrahamen
local.contributor.firstnameYangen
local.contributor.firstnameMichaelen
local.subject.for2008080106 Image Processingen
local.subject.for2008080199 Artificial Intelligence and Image Processing not elsewhere classifieden
local.subject.for2008080104 Computer Visionen
local.subject.seo2008890299 Computer Software and Services not elsewhere classifieden
local.subject.seo2008810199 Defence not elsewhere classifieden
local.subject.seo2008810107 National Securityen
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-20100415-151057en
local.publisher.placeSingaporeen
local.format.startpage1031en
local.format.endpage1051en
local.identifier.scopusid69249087793en
local.peerreviewedYesen
local.identifier.volume23en
local.identifier.issue5en
local.contributor.lastnameLeedhamen
local.contributor.lastnameMaen
local.contributor.lastnameBlumensteinen
dc.identifier.staffune-id:cleedhamen
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.identifier.unepublicationidune:5746en
dc.identifier.academiclevelAcademicen
local.title.maintitleHandwritten Shorthand and its Future Potential for Fast Mobile Text Entryen
local.output.categorydescriptionC1 Refereed Article in a Scholarly Journalen
local.search.authorLeedham, Grahamen
local.search.authorMa, Yangen
local.search.authorBlumenstein, Michaelen
local.uneassociationUnknownen
local.year.published2009en
Appears in Collections:Journal Article
School of Science and Technology
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