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dc.contributor.authorBusch, Andrewen_US
dc.contributor.authorSridharan, Sridhaen_US
dc.contributor.authorW. Boles, Wageehen_US
dc.contributor.editorDavid J. Kriegmanen_US
dc.date.accessioned2017-04-04T20:49:15Z
dc.date.available2017-04-04T20:49:15Z
dc.date.issued2005en_US
dc.date.modified2009-01-12T06:20:56Z
dc.identifier.issn01628828en_US
dc.identifier.doi10.1109/TPAMI.2005.227en_AU
dc.identifier.urihttp://hdl.handle.net/10072/4262
dc.description.abstractThe problem of determining the script and language of a document image has a number of important applications in the field of document analysis, such as indexing and sorting of large collections of such images, or as a precursor to optical character recognition (OCR). In this paper, we investigate the use of texture as a tool for determining the script of a document image, based on the observation that text has a distinct visual texture. An experimental evaluation of a number of commonly used texture features is conducted on a newly created script database, providing a qualitative measure of which features are most appropriate for this task. Strategies for improving classification results in situations with limited training data and multiple font types are also proposed.en_US
dc.description.peerreviewedYesen_US
dc.description.publicationstatusYesen_AU
dc.format.extent1029400 bytes
dc.format.extent70153 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.languageEnglishen_US
dc.language.isoen_AU
dc.publisherIEEE Computer Societyen_US
dc.publisher.placeLos Alamitos, CA, USAen_US
dc.publisher.urihttp://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=32376&arnumber=1512053&count=14&index=3en_AU
dc.relation.ispartofstudentpublicationNen_AU
dc.relation.ispartofpagefrom1720en_US
dc.relation.ispartofpageto1732en_US
dc.relation.ispartofissue11en_AU
dc.relation.ispartofjournalIEEE Transactions on Pattern Analysis and Machine Intelligenceen_US
dc.relation.ispartofvolume27en_US
dc.rights.retentionYen_AU
dc.subject.fieldofresearchcode280208en_US
dc.subject.fieldofresearchcode280203en_US
dc.titleTexture for Script Identificationen_US
dc.typeJournal articleen_US
dc.type.descriptionC1 - Peer Reviewed (HERDC)en_US
dc.type.codeC - Journal Articlesen_US
gro.facultyGriffith Sciences, Griffith School of Engineeringen_US
gro.rights.copyrightCopyright 2005 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.en_AU
gro.date.issued2005
gro.hasfulltextFull Text


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