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dc.contributor.authorCheng, RHen_US
dc.contributor.authorLee, CWen_US
dc.contributor.authorChen, Zen_US
dc.date.accessioned2014-12-08T15:02:24Z-
dc.date.available2014-12-08T15:02:24Z-
dc.date.issued1996-09-01en_US
dc.identifier.issn0218-0014en_US
dc.identifier.urihttp://hdl.handle.net/11536/1091-
dc.description.abstractRecognizing handwritten Chinese characters is a complex problem. We break the problem down into a series of sub-problems and concentrate on the radical recognition problem. The sub-problems are linked in a hierarchy of three layers: radical, radical sub-unit, and salient stroke. This problem reduction technique enables us to solve complex recognition problems effectively. We describe how to analyze and choose radical sub-units and salient strokes in order to recognize a set of radicals. We also construct two knowledge bases in the form of decision trees to guide the hypothesis and test procedures used to solve the recognition sub-problems. The problem reduction is done in a top-down fashion, while the problem solving process proceeds in a bottom-up fashion. The advantages of our method are described. The representation and organization of the two knowledge bases are explicitly described. The method is tested on two sets of handprinted characters using an TBM PC (486-33). The recognition rate is over 95.7% and the computer time needed to recognize a radical averages about 0.07 s. The experimental results indicate that our method effectively copes with a wide range of ordinary variations encountered in handwritten Chinese characters.en_US
dc.language.isoen_USen_US
dc.subjecthandwritten Chinese characteren_US
dc.subjectradicalen_US
dc.subjectradical sub-uniten_US
dc.subjectsalient strokeen_US
dc.subjectproblem reductionen_US
dc.subjectknowledge baseen_US
dc.subjectdecision treeen_US
dc.subjecthypothesis and testen_US
dc.titleRecognition of radicals in handwritten Chinese characters by means of problem reduction and knowledge guidanceen_US
dc.typeArticleen_US
dc.identifier.journalINTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCEen_US
dc.citation.volume10en_US
dc.citation.issue6en_US
dc.citation.spage657en_US
dc.citation.epage677en_US
dc.contributor.department資訊工程學系zh_TW
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.identifier.wosnumberWOS:A1996WR24400003-
dc.citation.woscount2-
Appears in Collections:Articles