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Print keyword spotting with dynamically synthesized pseudo 2D HMMs

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dc.contributor.authorCho, BJko
dc.contributor.authorKim, JinHyungko
dc.date.accessioned2009-07-23T06:49:35Z-
dc.date.available2009-07-23T06:49:35Z-
dc.date.created2012-02-06-
dc.date.created2012-02-06-
dc.date.issued2004-07-
dc.identifier.citationPATTERN RECOGNITION LETTERS, v.25, no.9, pp.999 - 1011-
dc.identifier.issn0167-8655-
dc.identifier.urihttp://hdl.handle.net/10203/10239-
dc.description.abstractWe propose a new method of dynamically synthesizing Korean character image templates and then converting them into P2DHMMs in real-time. This method is more advantageous than whole character HMMs in memory requirement as well as training difficulty. (C) 2004 Elsevier B.V. All rights reserved.-
dc.languageEnglish-
dc.language.isoen_USen
dc.publisherELSEVIER SCIENCE BV-
dc.subjectHIDDEN MARKOV-MODELS-
dc.subjectWORD RECOGNITION-
dc.titlePrint keyword spotting with dynamically synthesized pseudo 2D HMMs-
dc.typeArticle-
dc.identifier.wosid000222348600003-
dc.identifier.scopusid2-s2.0-2942625628-
dc.type.rimsART-
dc.citation.volume25-
dc.citation.issue9-
dc.citation.beginningpage999-
dc.citation.endingpage1011-
dc.citation.publicationnamePATTERN RECOGNITION LETTERS-
dc.identifier.doi10.1016/j.patrec.2004.02.014-
dc.embargo.liftdate9999-12-31-
dc.embargo.terms9999-12-31-
dc.contributor.localauthorKim, JinHyung-
dc.contributor.nonIdAuthorCho, BJ-
dc.type.journalArticleArticle-
dc.subject.keywordAuthorpseudo 2D HMM-
dc.subject.keywordAuthorcharacter modeling-
dc.subject.keywordAuthorkeyword spotting-
dc.subject.keywordAuthordocument retrieval-
dc.subject.keywordPlusHIDDEN MARKOV-MODELS-
dc.subject.keywordPlusWORD RECOGNITION-
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