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dc.contributor.authorBlumenstein, Michaelen_US
dc.contributor.authorNguyen, Vuen_US
dc.contributor.editorACMen_US
dc.date.accessioned2017-04-04T15:17:36Z
dc.date.available2017-04-04T15:17:36Z
dc.date.issued2010en_US
dc.date.modified2011-09-15T05:46:00Z
dc.identifier.refurihttp://www.cubs.buffalo.edu/DAS2010/en_AU
dc.identifier.doi10.1145/1815330.1815390en_AU
dc.identifier.urihttp://hdl.handle.net/10072/38243
dc.description.abstractOn-line handwriting recognition systems are usually better than their off-line counterparts thanks to the accessibility of dynamic information such as stroke order, velocity, acceleration, and pressure. Whilst the exact value of velocity as well as acceleration or pressure is unlikely to be recoverable, the temporal order of the strokes or the pen trajectory is shown to be more promising for recovery. The published experimental results suggest that the recovered pen trajectory information actually improves the off-line recognition accuracy. This paper presents an overview and discussion of pen trajectory recovery methods developed to date.en_US
dc.description.peerreviewedYesen_US
dc.description.publicationstatusYesen_AU
dc.format.extent215071 bytes
dc.format.mimetypeapplication/pdf
dc.languageEnglishen_US
dc.language.isoen_AU
dc.publisherACMen_US
dc.publisher.placeUnited Statesen_US
dc.relation.ispartofstudentpublicationNen_AU
dc.relation.ispartofconferencenameDAS '10en_US
dc.relation.ispartofconferencetitleProceedings of the 9th IAPR International Workshop on Document Analysis Systems DAS '10en_US
dc.relation.ispartofdatefrom2010-06-09en_US
dc.relation.ispartofdateto2010-06-11en_US
dc.relation.ispartoflocationBoston, MA, USAen_US
dc.rights.retentionYen_AU
dc.subject.fieldofresearchPattern Recognition and Data Miningen_US
dc.subject.fieldofresearchcode080109en_US
dc.titleTechniques for Static Handwriting Trajectory Recovery: A Surveyen_US
dc.typeConference outputen_US
dc.type.descriptionE1 - Conference Publications (HERDC)en_US
dc.type.codeE - Conference Publicationsen_US
gro.facultyGriffith Sciences, School of Information and Communication Technologyen_US
gro.rights.copyrightCopyright ACM, 2010. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in Proceeding DAS '10 Proceedings of the 9th IAPR International Workshop on Document Analysis Systems , ISBN(978-1-60558-773-8 ) http://dx.doi.org/10.1145/1815330.1815390en_AU
gro.date.issued2010
gro.hasfulltextFull Text


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    Contains papers delivered by Griffith authors at national and international conferences.

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