DC Field | Value | Language |
---|---|---|
dc.contributor.author | Sin, BK | ko |
dc.contributor.author | Ha, JY | ko |
dc.contributor.author | Oh, SC | ko |
dc.contributor.author | Kim, JinHyung | ko |
dc.date.accessioned | 2009-11-05T01:27:36Z | - |
dc.date.available | 2009-11-05T01:27:36Z | - |
dc.date.created | 2012-02-06 | - |
dc.date.created | 2012-02-06 | - |
dc.date.issued | 1999-04 | - |
dc.identifier.citation | IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS, v.29, no.2, pp.321 - 328 | - |
dc.identifier.issn | 1083-4419 | - |
dc.identifier.uri | http://hdl.handle.net/10203/12126 | - |
dc.description.abstract | The idea of combining the network of HMM's and the dynamic programming-based search is highly relevant to online handwriting recognition. The word model of HMM network can be systematically constructed by concatenating letter and ligature HMM's while sharing common ones. Character recognition in such a network can be defined as the task of best aligning a given input sequence to the best path in the network. One distinguishing feature of the approach is that letter segmentation is obtained simultaneously with recognition but no extra-computation is required. | - |
dc.language | English | - |
dc.language.iso | en_US | en |
dc.publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC | - |
dc.title | Network-based approach to online cursive script recognition | - |
dc.type | Article | - |
dc.identifier.wosid | 000079319900020 | - |
dc.identifier.scopusid | 2-s2.0-0033115629 | - |
dc.type.rims | ART | - |
dc.citation.volume | 29 | - |
dc.citation.issue | 2 | - |
dc.citation.beginningpage | 321 | - |
dc.citation.endingpage | 328 | - |
dc.citation.publicationname | IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS | - |
dc.embargo.liftdate | 9999-12-31 | - |
dc.embargo.terms | 9999-12-31 | - |
dc.contributor.localauthor | Kim, JinHyung | - |
dc.contributor.nonIdAuthor | Sin, BK | - |
dc.contributor.nonIdAuthor | Ha, JY | - |
dc.contributor.nonIdAuthor | Oh, SC | - |
dc.type.journalArticle | Article | - |
dc.subject.keywordAuthor | cursive script | - |
dc.subject.keywordAuthor | hidden Markov model | - |
dc.subject.keywordAuthor | ligature | - |
dc.subject.keywordAuthor | network search | - |
dc.subject.keywordAuthor | online character recognition | - |
dc.subject.keywordAuthor | segmentation | - |
dc.subject.keywordAuthor | Viterbi algorithm | - |
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