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Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/6664
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dc.contributor.authorPervouchine, Vladimiren
dc.contributor.authorLeedham, Grahamen
dc.contributor.authorKonstantin, Melikhoven
dc.date.accessioned2010-10-07T15:04:00Z-
dc.date.issued2005-
dc.identifier.citationProceedings of the 2005 Eight International Conference on Document Analysis and Recognition (ICDAR'05), v.1, p. 307-311en
dc.identifier.isbn0769524206en
dc.identifier.issn1520-5263en
dc.identifier.urihttps://hdl.handle.net/1959.11/6664-
dc.description.abstractA method for extraction of strokes from handwriting characters and graphemes is presented. The method allows the modelling of the original pen tip trajectory close to that perceived by humans, thus allowing its use in writer identification and verification tasks. The method is also capable of identifying retraced strokes and recovering hidden loops. Strokes are represented as cubic splines. The method extracts strokes in three stages: vectorisation, merging of skeletal branches and loop recovery, and final adjustment of near-junction and loop pieces. The evaluation of the method is performed by using its results for structural feature extraction and writer classification based on the features.en
dc.languageenen
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
dc.relation.ispartofProceedings of the 2005 Eight International Conference on Document Analysis and Recognition (ICDAR'05)en
dc.titleThree-stage Handwriting Stroke Extraction Method with Hidden Loop Recoveryen
dc.typeConference Publicationen
dc.relation.conferenceICDAR 2005: 8th International Conference on Document Analysis and Recognitionen
dc.identifier.doi10.1109/ICDAR.2005.241en
dc.subject.keywordsPattern Recognition and Data Miningen
dc.subject.keywordsImage Processingen
dc.subject.keywordsArtificial Intelligence and Image Processingen
local.contributor.firstnameVladimiren
local.contributor.firstnameGrahamen
local.contributor.firstnameMelikhoven
local.subject.for2008080109 Pattern Recognition and Data Miningen
local.subject.for2008080106 Image Processingen
local.subject.for2008080199 Artificial Intelligence and Image Processing not elsewhere classifieden
local.subject.seo2008810107 National Securityen
local.subject.seo2008890299 Computer Software and Services not elsewhere classifieden
local.profile.schoolSchool of Science and Technologyen
local.profile.emailcleedham@une.edu.auen
local.output.categoryE1en
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.identifier.epublicationsrecordune-20100421-11323en
local.date.conference29th August - 1st September, 2005en
local.conference.placeSeoul, South Koreaen
local.publisher.placeLos Alamitos, United States of Americaen
local.format.startpage307en
local.format.endpage311en
local.identifier.scopusid33947425212en
local.peerreviewedYesen
local.identifier.volume1en
local.contributor.lastnamePervouchineen
local.contributor.lastnameLeedhamen
local.contributor.lastnameKonstantinen
dc.identifier.staffune-id:cleedhamen
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.identifier.unepublicationidune:6824en
dc.identifier.academiclevelAcademicen
local.title.maintitleThree-stage Handwriting Stroke Extraction Method with Hidden Loop Recoveryen
local.output.categorydescriptionE1 Refereed Scholarly Conference Publicationen
local.relation.urlhttp://www3.ntu.edu.sg/SCE/labs/forse/PDF/docExam_11.pdfen
local.conference.detailsICDAR 2005: 8th International Conference on Document Analysis and Recognition, Seoul, Korea, 29th August - 1st September, 2005en
local.search.authorPervouchine, Vladimiren
local.search.authorLeedham, Grahamen
local.search.authorKonstantin, Melikhoven
local.uneassociationUnknownen
local.year.published2005en
local.date.start2005-08-29-
local.date.end2005-09-01-
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