DC Field | Value | Language |
---|---|---|
dc.contributor.author | Ryu, SH | ko |
dc.contributor.author | Kim, JinHyung | ko |
dc.date.accessioned | 2009-07-23T06:58:22Z | - |
dc.date.available | 2009-07-23T06:58:22Z | - |
dc.date.created | 2012-02-06 | - |
dc.date.created | 2012-02-06 | - |
dc.date.issued | 2004-07 | - |
dc.identifier.citation | PATTERN RECOGNITION, v.37, no.7, pp.1549 - 1552 | - |
dc.identifier.issn | 0031-3203 | - |
dc.identifier.uri | http://hdl.handle.net/10203/10241 | - |
dc.description.abstract | We propose a novel language model for Hangul text recognition. Without relying on prior linguistic knowledge in training, the proposed model learns variable length Hangul character sequences, which comprise the elementary tokens of Korean language, and their probabilities from statistics of a raw text corpus. Experiments in handwritten Hangul recognition shows that the proposed language model is effective in postprocessing of recognition results. (C) 2003 Pattern Recognition Society. Published by Elsevier Ltd. All rights reserved. | - |
dc.language | English | - |
dc.language.iso | en_US | en |
dc.publisher | PERGAMON-ELSEVIER SCIENCE LTD | - |
dc.subject | UNITS | - |
dc.title | A language model using variable length tokens for open-vocabulary Hangul text recognition | - |
dc.type | Article | - |
dc.identifier.wosid | 000221836100021 | - |
dc.identifier.scopusid | 2-s2.0-2442621114 | - |
dc.type.rims | ART | - |
dc.citation.volume | 37 | - |
dc.citation.issue | 7 | - |
dc.citation.beginningpage | 1549 | - |
dc.citation.endingpage | 1552 | - |
dc.citation.publicationname | PATTERN RECOGNITION | - |
dc.identifier.doi | 10.1016/j.patcog.2003.12.004 | - |
dc.embargo.liftdate | 9999-12-31 | - |
dc.embargo.terms | 9999-12-31 | - |
dc.contributor.localauthor | Kim, JinHyung | - |
dc.contributor.nonIdAuthor | Ryu, SH | - |
dc.type.journalArticle | Article | - |
dc.subject.keywordAuthor | language model | - |
dc.subject.keywordAuthor | character recognition | - |
dc.subject.keywordAuthor | hangul recognition | - |
dc.subject.keywordAuthor | open-vocabulary | - |
dc.subject.keywordAuthor | word recognition | - |
dc.subject.keywordPlus | UNITS | - |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.