Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/6620
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dc.contributor.authorLeedham, Grahamen
dc.contributor.authorChacra, Sumiten
dc.date.accessioned2010-10-01T09:59:00Z-
dc.date.issued2003-
dc.identifier.citationProceedings of the Seventh International Conference on Document Analysis and Recognition (ICDAR 2003), v.1, p. 413-417en
dc.identifier.isbn0769519601en
dc.identifier.urihttps://hdl.handle.net/1959.11/6620-
dc.description.abstractThe objective of this paper is to present a number of features that can be extracted from handwritten digits and used for author verification or identification of a person's handwriting. The features under consideration are mainly computational features some of which cannot be easily evaluated by humans. On the other hand, these features can be extracted by computer algorithms with a high degree of accuracy. The eleven features used are described. All features were appropriately binarized so that binary feature vectors of constant lengths could be formed. These vectors were then used for author discrimination, using the Hamming distance measure. For this task a writer database consisting of 15 writers was created. Each writer was asked to write random strings of 0 to 9 at least 10 times. The results indicate that the combined features work well at discriminating writers and warrant further detailed investigation. Although the set of features was designed for dealing with handwritten digits (as may be written on cheques), it may also be used for isolated alphabetic characters.en
dc.languageenen
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
dc.relation.ispartofProceedings of the Seventh International Conference on Document Analysis and Recognition (ICDAR 2003)en
dc.titleWriter Identification using Innovative Binarised Features of Handwritten Numeralsen
dc.typeConference Publicationen
dc.relation.conferenceICDAR 2003: 7th International Conference of Document Analysis and Recognitionen
dc.identifier.doi10.1109/ICDAR.2003.1227700en
dc.subject.keywordsArtificial Intelligence and Image Processingen
dc.subject.keywordsImage Processingen
dc.subject.keywordsComputer Visionen
local.contributor.firstnameGrahamen
local.contributor.firstnameSumiten
local.subject.for2008080104 Computer Visionen
local.subject.for2008080199 Artificial Intelligence and Image Processing not elsewhere classifieden
local.subject.for2008080106 Image Processingen
local.subject.seo2008810199 Defence not elsewhere classifieden
local.subject.seo2008890299 Computer Software and Services not elsewhere classifieden
local.subject.seo2008810107 National Securityen
local.profile.schoolSchool of Science and Technologyen
local.profile.schoolScience and Technologyen
local.profile.emailcleedham@une.edu.auen
local.output.categoryE1en
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.identifier.epublicationsrecordune-20100422-094233en
local.date.conference3rd - 6th August, 2003en
local.conference.placeEdinburgh, United Kingdomen
local.publisher.placeUnited States of Americaen
local.format.startpage413en
local.format.endpage417en
local.identifier.scopusid84874851625en
local.peerreviewedYesen
local.identifier.volume1en
local.contributor.lastnameLeedhamen
local.contributor.lastnameChacraen
dc.identifier.staffune-id:cleedhamen
local.profile.roleauthoren
local.profile.roleauthoren
local.identifier.unepublicationidune:6779en
dc.identifier.academiclevelAcademicen
local.title.maintitleWriter Identification using Innovative Binarised Features of Handwritten Numeralsen
local.output.categorydescriptionE1 Refereed Scholarly Conference Publicationen
local.relation.urlhttp://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.107.5809&rep=rep1&type=pdfen
local.conference.detailsICDAR 2003: 7th International Conference of Document Analysis and Recognition, Edinburgh, Scotland, 3rd - 6th August, 2003en
local.search.authorLeedham, Grahamen
local.search.authorChacra, Sumiten
local.uneassociationUnknownen
local.year.published2003en
local.date.start2003-08-03-
local.date.end2003-08-06-
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