Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/18020
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dc.contributor.authorChen, Yanen
dc.contributor.authorLeedham, Grahamen
local.source.editorEditor(s): Josef Kittleren
dc.date.accessioned2015-11-03T12:38:00Z-
dc.date.issued2004-
dc.identifier.citationProceedings of the 17th International Conference on Pattern Recognition (ICPR'04), v.1, p. 445-449en
dc.identifier.isbn0769521282en
dc.identifier.issn1051-4651en
dc.identifier.urihttps://hdl.handle.net/1959.11/18020-
dc.description.abstractGlobal and local adaptive thresholding techniques have been shown effective on particular types of documents. None produces consistently good results on all types of documents. In this paper a novel method, called the multistage-approach, is presented and compared against some existing single-stage algorithms. The multistage approach recursively breaks down an image into sub-regions using quad-tree decomposition and extracts local features from each sub-region until an appropriate thresholding method can be applied to each sub-region. Quantitative analysis using word recall and on 300 degraded historical images obtained from the Library of Congress demonstrate the method is superior to any existing single methods.en
dc.languageenen
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
dc.relation.ispartofProceedings of the 17th International Conference on Pattern Recognition (ICPR'04)en
dc.titleThe Multistage Approach to Information Extraction in Degraded Document Imagesen
dc.typeConference Publicationen
dc.relation.conferenceICPR 2004: 17th International Conference on Pattern Recognitionen
dc.identifier.doi10.1109/ICPR.2004.1334154en
dc.subject.keywordsImage Processingen
local.contributor.firstnameYanen
local.contributor.firstnameGrahamen
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-20100419-111114en
local.date.conference23rd - 26th August, 2004en
local.conference.placeCambridge, United Kingdomen
local.publisher.placeLos Alamitos, United States of Americaen
local.format.startpage445en
local.format.endpage449en
local.identifier.scopusid10044289799en
local.peerreviewedYesen
local.identifier.volume1en
local.contributor.lastnameChenen
local.contributor.lastnameLeedhamen
dc.identifier.staffune-id:cleedhamen
local.profile.roleauthoren
local.profile.roleauthoren
local.identifier.unepublicationidune:18225en
dc.identifier.academiclevelAcademicen
local.title.maintitleThe Multistage Approach to Information Extraction in Degraded Document Imagesen
local.output.categorydescriptionE1 Refereed Scholarly Conference Publicationen
local.conference.detailsICPR 2004: 17th International Conference on Pattern Recognition, Cambridge, United Kingdom, 23rd - 26th August, 2004en
local.search.authorChen, Yanen
local.search.authorLeedham, Grahamen
local.uneassociationUnknownen
local.year.published2004en
local.date.start2004-08-23-
local.date.end2004-08-26-
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