Show simple item record

dc.contributor.authorCheng, Chun Kien_US
dc.contributor.authorBlumenstein, Michaelen_US
dc.contributor.editorBob Werneren_US
dc.date.accessioned2017-04-24T10:08:44Z
dc.date.available2017-04-24T10:08:44Z
dc.date.issued2005en_US
dc.date.modified2010-10-13T09:58:59Z
dc.identifier.doi10.1109/ICDAR.2005.237en_AU
dc.identifier.urihttp://hdl.handle.net/10072/2571
dc.description.abstractThis paper presents an enhanced heuristic segmenter (EHS) and an improved neural-based segmentation technique for segmenting cursive words and validating prospective segmentation points respectively. The EHS employs two new features, ligature detection and a neural assistant, to locate prospective segmentation points. The improved neural-based segmentation technique can then be used to examine the prospective segmentation points by fusion of confidence values obtained from left and centre character recognition outputs in addition to the segmentation point validation (SPV) output. The improved neural-based segmentation technique uses a recently proposed feature extraction technique (modified direction feature) for representing the segmentation points and characters to enhance the overall segmentation process. The EHS and the neural-based segmentation technique have been implemented and tested on a benchmark database providing encouraging results.en_US
dc.description.peerreviewedYesen_US
dc.description.publicationstatusYesen_AU
dc.format.extent371787 bytes
dc.format.extent20362 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.languageEnglishen_US
dc.language.isoen_AU
dc.publisherIEEE Computer Societyen_US
dc.publisher.placeLos Alamitos, CA, USAen_US
dc.relation.ispartofstudentpublicationNen_AU
dc.relation.ispartofconferencenameInternational Conference on Document Analysis and Recognition (ICDAR)en_US
dc.relation.ispartofconferencetitleProceedings of the Eighth International Conference on Document Analysis and Recognitionen_US
dc.relation.ispartofdatefrom2005-08-31en_US
dc.relation.ispartofdateto2005-09-01en_US
dc.relation.ispartoflocationSeoul, Koreaen_US
dc.rights.retentionYen_AU
dc.subject.fieldofresearchcode280207en_US
dc.titleThe Neural-based Segmentation of Cursive Words using Enhanced Heuristicsen_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 2005 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.en_AU
gro.date.issued2005
gro.hasfulltextFull Text


Files in this item

This item appears in the following Collection(s)

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

Show simple item record