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dc.contributor.authorTSAY, YTen_US
dc.contributor.authorTSAI, WHen_US
dc.date.accessioned2014-12-08T15:04:39Z-
dc.date.available2014-12-08T15:04:39Z-
dc.date.issued1993-02-01en_US
dc.identifier.issn0162-8828en_US
dc.identifier.urihttp://dx.doi.org/10.1109/34.192491en_US
dc.identifier.urihttp://hdl.handle.net/11536/3135-
dc.description.abstractConsecutive strokes of Chinese characters tend to be connected in fast writing, and this causes a problem for most stroke-based recognition approaches. In this correspondence, we propose a recognition scheme to recognize cursive Chinese characters under the constraint of correct stroke writing orders. The proposed recognition scheme consists of two phases: candidate character selection and detailed matching. In the former phase, an input script with N strokes is used to split the strokes of each reference character into N corresponding parts. In the latter phase, the connected input strokes are broken into multiple strokes under the guidance of candidate characters. In both phases, dynamic programming is employed for stroke or character matching. Good experimental results prove the feasibility of the proposed approach for cursive Chinese character recognition.en_US
dc.language.isoen_USen_US
dc.subjectCHARACTER RECOGNITIONen_US
dc.subjectONLINE CHINESE CHARACTER RECOGNITIONen_US
dc.subjectSTRING MATCHINGen_US
dc.titleATTRIBUTED STRING MATCHING BY SPLIT-AND-MERGE FOR ONLINE CHINESE CHARACTER-RECOGNITIONen_US
dc.typeLetteren_US
dc.identifier.doi10.1109/34.192491en_US
dc.identifier.journalIEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCEen_US
dc.citation.volume15en_US
dc.citation.issue2en_US
dc.citation.spage180en_US
dc.citation.epage185en_US
dc.contributor.department資訊工程學系zh_TW
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.identifier.wosnumberWOS:A1993KL91000010-
dc.citation.woscount32-
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