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Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/9761
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dc.contributor.authorYang, Maen
dc.contributor.authorLeedham, Grahamen
dc.contributor.authorHiggins, Colinen
dc.contributor.authorHtwe, Swe Myoen
dc.date.accessioned2012-03-20T12:37:00Z-
dc.date.issued2005-
dc.identifier.citationProceedings of the IEEE Region 10 Conference (TENCON'05), p. 2104-2019en
dc.identifier.isbn0780393112en
dc.identifier.urihttps://hdl.handle.net/1959.11/9761-
dc.description.abstractThis paper investigates the potential of Pitman shorthand as a mean of fast real-time handwritten text entry (>120 wpm) on hand-held devices. An online system which combines input, recognition and transcription of Pitman shorthand is proposed. The main recognition algorithms taken in the demonstration system are discussed and evaluated. Based on the implementation experience of the system, future research directions are discussed.en
dc.languageenen
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
dc.relation.ispartofProceedings of the IEEE Region 10 Conference (TENCON'05)en
dc.titleAn On-line Recognition System for Handwritten Pitman Shorthanden
dc.typeConference Publicationen
dc.relation.conferenceTENCON 2005: IEEE Region 10 Conferenceen
dc.identifier.doi10.1109/TENCON.2005.301199en
dc.subject.keywordsImage Processingen
dc.subject.keywordsPattern Recognition and Data Miningen
local.contributor.firstnameMaen
local.contributor.firstnameGrahamen
local.contributor.firstnameColinen
local.contributor.firstnameSwe Myoen
local.subject.for2008080106 Image Processingen
local.subject.for2008080109 Pattern Recognition and Data Miningen
local.subject.seo2008890299 Computer Software and Services not elsewhere classifieden
local.subject.seo2008810107 National Securityen
local.profile.schoolSchool of Science and Technologyen
local.profile.emailcleedham@une.edu.auen
local.output.categoryE1en
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.identifier.epublicationsrecordune-20100421-115932en
local.date.conference21st - 24th November, 2005en
local.conference.placeMelbourne, Australiaen
local.publisher.placeLos Alamitos, United States of Americaen
local.identifier.runningnumberPaper # 1568964914en
local.format.startpage2104en
local.format.endpage2019en
local.identifier.scopusid34249296284en
local.peerreviewedYesen
local.contributor.lastnameYangen
local.contributor.lastnameLeedhamen
local.contributor.lastnameHigginsen
local.contributor.lastnameHtween
dc.identifier.staffune-id:cleedhamen
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.identifier.unepublicationidune:9952en
dc.identifier.academiclevelAcademicen
local.title.maintitleAn On-line Recognition System for Handwritten Pitman Shorthanden
local.output.categorydescriptionE1 Refereed Scholarly Conference Publicationen
local.conference.detailsTENCON 2005: IEEE Region 10 Conference, Melbourne, Australia, 21st - 24th November, 2005en
local.search.authorYang, Maen
local.search.authorLeedham, Grahamen
local.search.authorHiggins, Colinen
local.search.authorHtwe, Swe Myoen
local.uneassociationUnknownen
local.year.published2005en
local.date.start2005-11-21-
local.date.end2005-11-24-
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