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Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/6663
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dc.contributor.authorPervouchine, Vladimiren
dc.contributor.authorLeedham, Grahamen
dc.contributor.authorMelikhov, Konstantinen
dc.date.accessioned2010-10-07T15:02:00Z-
dc.date.issued2005-
dc.identifier.citationProceedings of the 2005 ACM Symposium on Applied Computing, v.1, p. 754-758en
dc.identifier.isbn1581139640en
dc.identifier.urihttps://hdl.handle.net/1959.11/6663-
dc.description.abstractA new method of skeletonisation (stroke extraction) of handwritten character images is presented. The method has been designed to extract the skeleton which is very close to human perception of the original pen tip trajectory. The need in such skeletonisation arises from feature extraction algorithms which are sensitive to inaccuracies in positions of skeleton curves. One class of such algorithms are those for extraction of features used in forensic analysis of handwriting. The skeleton is constructed in three steps directly from the grayscale image and is represented as a set of curves, which, in turn, are represented as cubic B-splines. Such representation also eases feature extraction. Experiments have been performed on 150 images of grapheme "th" written by different writers. The assessment of the skeletonisation results are presented.en
dc.languageenen
dc.publisherAssociation for Computing Machinery (ACM)en
dc.relation.ispartofProceedings of the 2005 ACM Symposium on Applied Computingen
dc.titleHandwritten character skeletonisation for forensic document analysisen
dc.typeConference Publicationen
dc.relation.conferenceSAC 2005: 20th Annual ACM Symposium on Applied Computingen
dc.identifier.doi10.1145/1066677.1066850en
dc.subject.keywordsImage Processingen
dc.subject.keywordsComputer Visionen
local.contributor.firstnameVladimiren
local.contributor.firstnameGrahamen
local.contributor.firstnameKonstantinen
local.subject.for2008080104 Computer Visionen
local.subject.for2008080106 Image Processingen
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-20100421-10350en
local.date.conference13th - 17th March, 2005en
local.conference.placeSanta Fe, United States of Americaen
local.publisher.placeNew York, United States of Americaen
local.format.startpage754en
local.format.endpage758en
local.identifier.scopusid33644518659en
local.peerreviewedYesen
local.identifier.volume1en
local.contributor.lastnamePervouchineen
local.contributor.lastnameLeedhamen
local.contributor.lastnameMelikhoven
dc.identifier.staffune-id:cleedhamen
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.identifier.unepublicationidune:6823en
dc.identifier.academiclevelAcademicen
local.title.maintitleHandwritten character skeletonisation for forensic document analysisen
local.output.categorydescriptionE1 Refereed Scholarly Conference Publicationen
local.conference.detailsSAC 2005: 20th Annual ACM Symposium on Applied Computing, Santa Fe, New Mexico, 13th - 17th March, 2005en
local.search.authorPervouchine, Vladimiren
local.search.authorLeedham, Grahamen
local.search.authorMelikhov, Konstantinen
local.uneassociationUnknownen
local.year.published2005en
local.date.start2005-03-13-
local.date.end2005-03-17-
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School of Science and Technology
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