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dc.contributor.convenorJong-Hwan Kimen_AU
dc.contributor.authorCheng, Chun Kien_US
dc.contributor.authorLiu, Xin Yuen_US
dc.contributor.authorBlumenstein, Michaelen_US
dc.contributor.authorMuthukkumarasamy, Vallipuramen_US
dc.contributor.editorJong-Hwan Kimen_US
dc.date.accessioned2017-05-03T16:37:14Z
dc.date.available2017-05-03T16:37:14Z
dc.date.issued2004en_US
dc.date.modified2009-09-29T23:11:37Z
dc.identifier.urihttp://hdl.handle.net/10072/2089
dc.description.abstractThis paper proposes some directions for enhancing a neural network-based technique for automatically segmenting cursive handwriting. The technique fuses confidence values obtained from left and center character recognition outputs in addition to a Segmentation Point Validation output. Specifically, this paper describes the use of a recently proposed feature extraction technique (Modified Direction Feature) for representing segmentation points and characters to enhance the overall segmentation process. Promising results are presented for Segmentation Point Validation and cursive character recognition on a benchmark dataset. In addition, a new methodology for detecting segmentation paths is presented and evaluated for extracting characters from cursive handwriting.en_US
dc.description.peerreviewedYesen_US
dc.description.publicationstatusYesen_AU
dc.format.extent90507 bytes
dc.format.extent24857 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.languageEnglishen_US
dc.language.isoen_AU
dc.publisherKorea Advanced Institute of Science and Technologyen_US
dc.publisher.placeKoreaen_US
dc.publisher.urihttp://www.kaist.edu/edu.htmlen_US
dc.publisher.urihttp://www.cit.gu.edu.au/en_US
dc.relation.ispartof0en_AU
dc.relation.ispartofconferencenameSEAL 04 and 2004 FIRA Robot world congressen_US
dc.relation.ispartofconferencetitleSEAL 04 and 2004 FIRA Robot world congressen_US
dc.relation.ispartofdatefrom2004-10-26en_US
dc.relation.ispartofdateto2004-10-29en_US
dc.relation.ispartoflocationKoreaen_US
dc.subject.fieldofresearchcode280207en_US
dc.titleEnhancing neural confidence-based segmentation for cursive handwriting recognitionen_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 remains with the author 2007 Griffith University. The attached file is posted here with permission of the copyright owner for your personal use only. No further distribution permitted.en_AU
gro.date.issued2004
gro.hasfulltextFull Text


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

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