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Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/1043
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dc.contributor.authorKwan, PHen
dc.contributor.authorGao, Jen
dc.contributor.authorGuo, Yen
local.source.editorEditor(s): P Delmas, J James & J Morrisen
dc.date.accessioned2008-09-29T09:47:00Z-
dc.date.issued2006-
dc.identifier.citationProceedings of IVCNZ 2006: Twenty-first International Conference of Image and Vision Computing New Zealand, p. 115-120en
dc.identifier.isbn9780473117924en
dc.identifier.urihttps://hdl.handle.net/1959.11/1043-
dc.description.abstractShape context, a robust descriptor for point pattern matching, is applied in fingerprint matching by enhancing with minutiae type and angle details. A modified matching cost between shape contexts, by including the application specific contextual information, improves the accuracy of matching when compared with the original definition. To reduce computation for practical use, a simple pre-processing step termed elliptical region filtering is applied in removing spurious minutiae prior to matching. Empirical experiments conducted on a database of fingerprint images confirmed the improvements in accuracy and speed attained by the proposed method.en
dc.languageenen
dc.publisherImage and Vision Computing New Zealanden
dc.relation.ispartofProceedings of IVCNZ 2006: Twenty-first International Conference of Image and Vision Computing New Zealanden
dc.titleFingerprint Matching using Enhanced Shape Contexten
dc.typeConference Publicationen
dc.relation.conferenceIVCNZ 2006: 21st International Conference of Image and Vision Computing New Zealanden
dc.subject.keywordsPattern Recognition and Data Miningen
local.contributor.firstnamePHen
local.contributor.firstnameJen
local.contributor.firstnameYen
local.subject.for2008080109 Pattern Recognition and Data Miningen
local.subject.seo700199 Computer software and services not elsewhere classifieden
local.profile.schoolSchool of Science and Technologyen
local.profile.schoolSchool of Science and Technologyen
local.profile.emailwkwan2@une.edu.auen
local.profile.emailyguo4@une.edu.auen
local.output.categoryE1en
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.identifier.epublicationsrecordpes:4129en
local.date.conference27th - 29th November, 2006en
local.conference.placeGreat Barrier Island, New Zealanden
local.publisher.placeNew Zealanden
local.format.startpage115en
local.format.endpage120en
local.peerreviewedYesen
local.contributor.lastnameKwanen
local.contributor.lastnameGaoen
local.contributor.lastnameGuoen
dc.identifier.staffune-id:wkwan2en
dc.identifier.staffune-id:yguo4en
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.identifier.unepublicationidune:1062en
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
local.title.maintitleFingerprint Matching using Enhanced Shape Contexten
local.output.categorydescriptionE1 Refereed Scholarly Conference Publicationen
local.relation.urlhttp://www.citr.auckland.ac.nz/ivcnz06/en
local.conference.detailsIVCNZ 2006: 21st International Conference of Image and Vision Computing New Zealand, Great Barrier Island, New Zealand, 27th - 29th November, 2006en
local.search.authorKwan, PHen
local.search.authorGao, Jen
local.search.authorGuo, Yen
local.uneassociationUnknownen
local.year.published2006en
local.date.start2006-11-27-
local.date.end2006-11-29-
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