Feature point method of Chinese character recognition and its application
Identifieur interne : 003564 ( Istex/Corpus ); précédent : 003563; suivant : 003565Feature point method of Chinese character recognition and its application
Auteurs : Xinzhong Zhang ; Changde Yan ; Xiuying LiuSource :
- Journal of Computer Science and Technology [ 1000-9000 ] ; 1990-10-01.
Abstract
Abstract: A new method for recognizing Chinese characters is proposed. It is based on the so- called feature points of Chinese characters. The feature points we use include those on the stroke of a character, i.e., end points, turning points, fork points and cross points, and the key points on the background of character. This method differs from the previous ones for it combines the feature points on stroke with those on back-ground and it uses feature points to recognize Chinese characters directly. A Chinese character recognition system based on top- down dynamical matching of feature point is developed. The system can recognize not only 6763 printed sample Song font Chinese characters of size 5.6×5.6mm2 with high recognition rate, but also the general printed books, magazines and documents with a satisfactory recognition rate and speed.
Url:
DOI: 10.1007/BF02945282
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ISTEX:20CA38CFEFA23460F9B788B394DAD3EE8B0E7128Le document en format XML
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It is based on the so- called feature points of Chinese characters. The feature points we use include those on the stroke of a character, i.e., end points, turning points, fork points and cross points, and the key points on the background of character. This method differs from the previous ones for it combines the feature points on stroke with those on back-ground and it uses feature points to recognize Chinese characters directly. A Chinese character recognition system based on top- down dynamical matching of feature point is developed. 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It is based on the so- called feature points of Chinese characters. The feature points we use include those on the stroke of a character, i.e., end points, turning points, fork points and cross points, and the key points on the background of character. This method differs from the previous ones for it combines the feature points on stroke with those on back-ground and it uses feature points to recognize Chinese characters directly. A Chinese character recognition system based on top- down dynamical matching of feature point is developed. The system can recognize not only 6763 printed sample Song font Chinese characters of size 5.6×5.6mm<Superscript>2</Superscript> with high recognition rate, but also the general printed books, magazines and documents with a satisfactory recognition rate and speed.</Para></Abstract></ArticleHeader><NoBody></NoBody></Article></Issue></Volume></Journal></Publisher></istex:document></istex:metadataXml><mods version="3.6"><titleInfo lang="en"><title>Feature point method of Chinese character recognition and its application</title></titleInfo><titleInfo type="alternative" contentType="CDATA" lang="en"><title>Feature point method of Chinese character recognition and its application</title></titleInfo><name type="personal" displayLabel="corresp"><namePart type="given">Xinzhong</namePart><namePart type="family">Zhang</namePart><affiliation>Chinese Information Processing & Research Center, Beijing Information Technology Institute, Beijing, China</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Changde</namePart><namePart type="family">Yan</namePart><affiliation>Chinese Information Processing & Research Center, Beijing Information Technology Institute, Beijing, China</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Xiuying</namePart><namePart type="family">Liu</namePart><affiliation>Chinese Information Processing & Research Center, Beijing Information Technology Institute, Beijing, China</affiliation><role><roleTerm type="text">author</roleTerm></role></name><typeOfResource>text</typeOfResource><genre type="research-article" displayLabel="OriginalPaper"></genre><originInfo><publisher>Science Press</publisher><place><placeTerm type="text">Beijing</placeTerm></place><dateCreated encoding="w3cdtf">1988-12-03</dateCreated><dateIssued encoding="w3cdtf">1990-10-01</dateIssued><copyrightDate encoding="w3cdtf">1990</copyrightDate></originInfo><language><languageTerm type="code" authority="rfc3066">en</languageTerm><languageTerm type="code" authority="iso639-2b">eng</languageTerm></language><physicalDescription><internetMediaType>text/html</internetMediaType></physicalDescription><abstract lang="en">Abstract: A new method for recognizing Chinese characters is proposed. It is based on the so- called feature points of Chinese characters. The feature points we use include those on the stroke of a character, i.e., end points, turning points, fork points and cross points, and the key points on the background of character. This method differs from the previous ones for it combines the feature points on stroke with those on back-ground and it uses feature points to recognize Chinese characters directly. A Chinese character recognition system based on top- down dynamical matching of feature point is developed. The system can recognize not only 6763 printed sample Song font Chinese characters of size 5.6×5.6mm2 with high recognition rate, but also the general printed books, magazines and documents with a satisfactory recognition rate and speed.</abstract><note>Regular Papers</note><relatedItem type="host"><titleInfo><title>Journal of Computer Science and Technology</title></titleInfo><titleInfo type="abbreviated"><title>J. of Comput. 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Y</surname></persName></author><author><persName><forename type="first">~</forename></persName></author><author><persName><forename type="first">~</forename><surname>~+~</surname></persName></author><imprint><date type="published" when="1982"></date><biblScope unit="page" from="6" to="455"></biblScope></imprint></monogr></biblStruct><biblStruct xml:id="b5"><analytic><title level="a" type="main">The automatic recognition ofhandprinted Chinese characters-a method of extracting an ordered sequence of strokes</title><author><persName><forename type="first">~</forename><surname>~l~ '~q~</surname></persName></author></analytic><monogr><title level="j">Pattern Recognition Letters</title><imprint><biblScope unit="volume">1</biblScope><biblScope unit="page" from="259" to="265"></biblScope><date type="published" when="1983"></date></imprint></monogr></biblStruct></listBibl></back></text></istex:refBibTEI></enrichments><serie></serie></istex></record>Pour manipuler ce document sous Unix (Dilib)
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