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dc.contributor.authorLeedham, Grahamen_US
dc.contributor.authorMa, Yangen_US
dc.contributor.authorBlumenstein, Michaelen_US
dc.contributor.editorX Jiangen_US
dc.date.accessioned2017-05-03T13:03:28Z
dc.date.available2017-05-03T13:03:28Z
dc.date.issued2009en_US
dc.date.modified2010-05-13T06:40:25Z
dc.identifier.issn02180014en_US
dc.identifier.doi10.1142/S0218001409007405en_AU
dc.identifier.urihttp://hdl.handle.net/10072/29652
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_US
dc.description.peerreviewedYesen_US
dc.description.publicationstatusYesen_AU
dc.format.extent705126 bytes
dc.format.mimetypeapplication/pdf
dc.languageEnglishen_US
dc.language.isoen_AU
dc.publisherWorld Scientificen_US
dc.publisher.placeSingaporeen_US
dc.publisher.urihttp://www.worldscinet.com/ijprai/ijprai.shtmlen_AU
dc.relation.ispartofstudentpublicationNen_AU
dc.relation.ispartofpagefrom1031en_US
dc.relation.ispartofpageto1051en_US
dc.relation.ispartofissue5en_US
dc.relation.ispartofjournalInternational Journal of Pattern Recognition and Artificial Intelligenceen_US
dc.relation.ispartofvolume23en_US
dc.rights.retentionYen_AU
dc.subject.fieldofresearchPattern Recognition and Data Miningen_US
dc.subject.fieldofresearchcode080109en_US
dc.titleHandwritten shorthand and its future potential for fast mobile text entryen_US
dc.typeJournal articleen_US
dc.type.descriptionC1 - Peer Reviewed (HERDC)en_US
dc.type.codeC - Journal Articlesen_US
gro.rights.copyrightElectronic version of an article published as International Journal of Pattern Recognition and Artificial Intelligence (IJPRAI), Volume: 23, Issue: 5(2009) pp. 1031-1051, http://dx.doi.org/10.1142/S0218001409007405. Copyright World Scientific Publishing Company http://www.worldscinet.com/ijprai/ijprai.shtmlen_AU
gro.date.issued2009
gro.hasfulltextFull Text


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