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dc.contributor.convenorTamas Roskaen_AU
dc.contributor.authorBlumenstein, Michaelen_US
dc.contributor.authorLiu, Xin Yuen_US
dc.contributor.authorVerma, B.en_US
dc.contributor.editorTamas Roskaen_US
dc.date.accessioned2017-04-24T10:08:59Z
dc.date.available2017-04-24T10:08:59Z
dc.date.issued2004en_US
dc.date.modified2009-09-24T05:54:04Z
dc.identifier.doi10.1109/IJCNN.2004.1381140en_AU
dc.identifier.urihttp://hdl.handle.net/10072/2115
dc.description.abstractThis paper describes a neural network-based technique for cursive character recognition applicable to segmentation-based word recognition systems. The proposed research builds on a novel feature extraction technique that extracts direction information from the structure of character contours. This principal is extended so that the direction information is integrated with a technique for detecting transitions between background and foreground pixels in the character image. The proposed technique is compared with the standard direction feature extraction technique, providing promising results using segmented characters from the CEDAR benchmark database.en_US
dc.description.peerreviewedYesen_US
dc.description.publicationstatusYesen_AU
dc.format.extent362832 bytes
dc.format.extent23414 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.languageEnglishen_US
dc.language.isoen_AU
dc.publisherInstitute of Electrical and Electronics Engineers [CPS] (IEEE)en_US
dc.publisher.placeUSAen_US
dc.publisher.urihttp://ieeexplore.ieee.org/servlet/opac?punumber=9486en_AU
dc.relation.ispartof0en_AU
dc.relation.ispartofconferencename2004 International Joint Conference on Neural Networks (IJCNN)en_US
dc.relation.ispartofconferencetitleProceedings of the 2004 IEEE International Joint Conference on Neural Networksen_US
dc.relation.ispartofdatefrom2004-07-25en_US
dc.relation.ispartofdateto2004-07-29en_US
dc.relation.ispartoflocationBudapest, Hungaryen_US
dc.subject.fieldofresearchcode280212en_US
dc.titleA Modified Direction Feature for Cursive Character 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 2004 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.issued2004
gro.hasfulltextFull Text


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