Automated entry system for Chinese printed documents
Identifieur interne : 001670 ( Istex/Corpus ); précédent : 001669; suivant : 001671Automated entry system for Chinese printed documents
Auteurs : Bor-Shenn Jeng ; Tung-Ming Shieh ; Char-Shin Miou ; Chun-Jen Lee ; Bing-Shan Chien ; Yu-Hen Hu ; Gan-How ChangSource :
- Image and Vision Computing [ 0262-8856 ] ; 1994.
Abstract
In this paper, we present a new automated Chinese printed document entry system. This system features automated text/ graph segmentation, and multi-font, multi-size printed Chinese character recognition. Experimental results show that 95.8–99.4% of the top 10 printed characters can be correctly recognized, with the speed of 0.16 seconds/character.
Url:
DOI: 10.1016/0262-8856(95)98755-I
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Taiwan 326, ROC</mods:affiliation></affiliation></author><author><name sortKey="Hu, Yu Hen" sort="Hu, Yu Hen" uniqKey="Hu Y" first="Yu-Hen" last="Hu">Yu-Hen Hu</name><affiliation><mods:affiliation>Department of Electrical and Computer Engineering, University of Wisconsin-Madison, Madison, WI, USA</mods:affiliation></affiliation></author><author><name sortKey="Chang, Gan How" sort="Chang, Gan How" uniqKey="Chang G" first="Gan-How" last="Chang">Gan-How Chang</name><affiliation><mods:affiliation>Telecommunication Laboratories, Ministry of Transportation and Communications, 12 Lane 551, Min-Tsu Road, Yang Mei, Taoyuan, Taiwan 326, ROC</mods:affiliation></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">ISTEX</idno><idno type="RBID">ISTEX:178170989E3D0C13726582DE97E3A51E8E0E59D6</idno><date when="1995" year="1995">1995</date><idno type="doi">10.1016/0262-8856(95)98755-I</idno><idno 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ROC</mods:affiliation></affiliation></author><author><name sortKey="Miou, Char Shin" sort="Miou, Char Shin" uniqKey="Miou C" first="Char-Shin" last="Miou">Char-Shin Miou</name><affiliation><mods:affiliation>Telecommunication Laboratories, Ministry of Transportation and Communications, 12 Lane 551, Min-Tsu Road, Yang Mei, Taoyuan, Taiwan 326, ROC</mods:affiliation></affiliation><affiliation><mods:affiliation>Institute of Optical Science, National Central University, ROC</mods:affiliation></affiliation></author><author><name sortKey="Lee, Chun Jen" sort="Lee, Chun Jen" uniqKey="Lee C" first="Chun-Jen" last="Lee">Chun-Jen Lee</name><affiliation><mods:affiliation>Telecommunication Laboratories, Ministry of Transportation and Communications, 12 Lane 551, Min-Tsu Road, Yang Mei, Taoyuan, Taiwan 326, ROC</mods:affiliation></affiliation></author><author><name sortKey="Chien, Bing Shan" sort="Chien, Bing Shan" uniqKey="Chien B" first="Bing-Shan" last="Chien">Bing-Shan Chien</name><affiliation><mods:affiliation>Telecommunication Laboratories, Ministry of Transportation and Communications, 12 Lane 551, Min-Tsu Road, Yang Mei, Taoyuan, Taiwan 326, ROC</mods:affiliation></affiliation></author><author><name sortKey="Hu, Yu Hen" sort="Hu, Yu Hen" uniqKey="Hu Y" first="Yu-Hen" last="Hu">Yu-Hen Hu</name><affiliation><mods:affiliation>Department of Electrical and Computer Engineering, University of Wisconsin-Madison, Madison, WI, USA</mods:affiliation></affiliation></author><author><name sortKey="Chang, Gan How" sort="Chang, Gan How" uniqKey="Chang G" first="Gan-How" last="Chang">Gan-How Chang</name><affiliation><mods:affiliation>Telecommunication Laboratories, Ministry of Transportation and Communications, 12 Lane 551, Min-Tsu Road, Yang Mei, Taoyuan, Taiwan 326, ROC</mods:affiliation></affiliation></author></analytic><monogr></monogr><series><title level="j">Image and Vision Computing</title><title level="j" type="abbrev">IMAVIS</title><idno type="ISSN">0262-8856</idno><imprint><publisher>ELSEVIER</publisher><date type="published" when="1994">1994</date><biblScope unit="volume">13</biblScope><biblScope unit="issue">10</biblScope><biblScope unit="page" from="745">745</biblScope><biblScope unit="page" to="754">754</biblScope></imprint><idno type="ISSN">0262-8856</idno></series><idno type="istex">178170989E3D0C13726582DE97E3A51E8E0E59D6</idno><idno type="DOI">10.1016/0262-8856(95)98755-I</idno><idno type="PII">0262-8856(95)98755-I</idno></biblStruct></sourceDesc><seriesStmt><idno type="ISSN">0262-8856</idno></seriesStmt></fileDesc><profileDesc><textClass></textClass><langUsage><language ident="en">en</language></langUsage></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">In this paper, we present a new automated Chinese printed document entry system. This system features automated text/ graph segmentation, and multi-font, multi-size printed Chinese character recognition. Experimental results show that 95.8–99.4% of the top 10 printed characters can be correctly recognized, with the speed of 0.16 seconds/character.</div></front></TEI><istex><corpusName>elsevier</corpusName><author><json:item><name>Bor-Shenn Jeng</name><affiliations><json:string>Telecommunication Laboratories, Ministry of Transportation and Communications, 12 Lane 551, Min-Tsu Road, Yang Mei, Taoyuan, Taiwan 326, ROC</json:string><json:string>Institute of Optical Science, National Central University, ROC</json:string></affiliations></json:item><json:item><name>Tung-Ming Shieh</name><affiliations><json:string>Institute of Optical Science, National Central University, ROC</json:string></affiliations></json:item><json:item><name>Char-Shin Miou</name><affiliations><json:string>Telecommunication Laboratories, Ministry of Transportation and Communications, 12 Lane 551, Min-Tsu Road, Yang Mei, Taoyuan, Taiwan 326, ROC</json:string><json:string>Institute of Optical Science, National Central University, ROC</json:string></affiliations></json:item><json:item><name>Chun-Jen Lee</name><affiliations><json:string>Telecommunication Laboratories, Ministry of Transportation and Communications, 12 Lane 551, Min-Tsu Road, Yang Mei, Taoyuan, Taiwan 326, ROC</json:string></affiliations></json:item><json:item><name>Bing-Shan Chien</name><affiliations><json:string>Telecommunication Laboratories, Ministry of Transportation and Communications, 12 Lane 551, Min-Tsu Road, Yang Mei, Taoyuan, Taiwan 326, ROC</json:string></affiliations></json:item><json:item><name>Yu-Hen Hu</name><affiliations><json:string>Department of Electrical and Computer Engineering, University of Wisconsin-Madison, Madison, WI, USA</json:string></affiliations></json:item><json:item><name>Gan-How Chang</name><affiliations><json:string>Telecommunication Laboratories, Ministry of Transportation and Communications, 12 Lane 551, Min-Tsu Road, Yang Mei, Taoyuan, Taiwan 326, ROC</json:string></affiliations></json:item></author><subject><json:item><lang><json:string>eng</json:string></lang><value>document entry system</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>optical character recognition (OCR)</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>document analysis</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>feature extraction</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>segmentation</value></json:item></subject><language><json:string>eng</json:string></language><abstract>In this paper, we present a new automated Chinese printed document entry system. 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type="first">Yu-Hen</forename><surname>Hu</surname></persName><affiliation>Department of Electrical and Computer Engineering, University of Wisconsin-Madison, Madison, WI, USA</affiliation></author><author><persName><forename type="first">Gan-How</forename><surname>Chang</surname></persName><affiliation>Telecommunication Laboratories, Ministry of Transportation and Communications, 12 Lane 551, Min-Tsu Road, Yang Mei, Taoyuan, Taiwan 326, ROC</affiliation></author></analytic><monogr><title level="j">Image and Vision Computing</title><title level="j" type="abbrev">IMAVIS</title><idno type="pISSN">0262-8856</idno><idno type="PII">S0262-8856(00)X0001-7</idno><imprint><publisher>ELSEVIER</publisher><date type="published" when="1994"></date><biblScope unit="volume">13</biblScope><biblScope unit="issue">10</biblScope><biblScope unit="page" from="745">745</biblScope><biblScope unit="page" to="754">754</biblScope></imprint></monogr><idno type="istex">178170989E3D0C13726582DE97E3A51E8E0E59D6</idno><idno type="DOI">10.1016/0262-8856(95)98755-I</idno><idno type="PII">0262-8856(95)98755-I</idno></biblStruct></sourceDesc></fileDesc><profileDesc><creation><date>1995</date></creation><langUsage><language ident="en">en</language></langUsage><abstract xml:lang="en"><p>In this paper, we present a new automated Chinese printed document entry system. This system features automated text/ graph segmentation, and multi-font, multi-size printed Chinese character recognition. Experimental results show that 95.8–99.4% of the top 10 printed characters can be correctly recognized, with the speed of 0.16 seconds/character.</p></abstract><textClass><keywords scheme="keyword"><list><head>Keywords</head><item><term>document entry system</term></item><item><term>optical character recognition (OCR)</term></item><item><term>document analysis</term></item><item><term>feature extraction</term></item><item><term>segmentation</term></item></list></keywords></textClass></profileDesc><revisionDesc><change when="1994-08-02">Received</change><change when="1995-02-15">Modified</change><change when="1994">Published</change></revisionDesc></teiHeader></istex:fulltextTEI></fulltext><metadata><istex:metadataXml wicri:clean="Elsevier, elements deleted: tail"><istex:xmlDeclaration>version="1.0" encoding="utf-8"</istex:xmlDeclaration><istex:docType PUBLIC="-//ES//DTD journal article DTD version 4.5.2//EN//XML" URI="art452.dtd" name="istex:docType"></istex:docType><istex:document><converted-article version="4.5.2" docsubtype="fla"><item-info><jid>IMAVIS</jid><aid>9598755I</aid><ce:pii>0262-8856(95)98755-I</ce:pii><ce:doi>10.1016/0262-8856(95)98755-I</ce:doi><ce:copyright type="unknown" year="1995"></ce:copyright></item-info><head><ce:title>Automated entry system for Chinese printed documents</ce:title><ce:author-group><ce:author><ce:given-name>Bor-Shenn</ce:given-name><ce:surname>Jeng</ce:surname><ce:cross-ref refid="AFF1"><ce:sup>∗</ce:sup></ce:cross-ref><ce:cross-ref refid="AFF2"><ce:sup>†</ce:sup></ce:cross-ref></ce:author><ce:author><ce:given-name>Tung-Ming</ce:given-name><ce:surname>Shieh</ce:surname><ce:cross-ref refid="AFF2"><ce:sup>†</ce:sup></ce:cross-ref></ce:author><ce:author><ce:given-name>Char-Shin</ce:given-name><ce:surname>Miou</ce:surname><ce:cross-ref refid="AFF1"><ce:sup>∗</ce:sup></ce:cross-ref><ce:cross-ref refid="AFF2"><ce:sup>†</ce:sup></ce:cross-ref></ce:author><ce:author><ce:given-name>Chun-Jen</ce:given-name><ce:surname>Lee</ce:surname><ce:cross-ref refid="AFF1"><ce:sup>∗</ce:sup></ce:cross-ref></ce:author><ce:author><ce:given-name>Bing-Shan</ce:given-name><ce:surname>Chien</ce:surname><ce:cross-ref refid="AFF1"><ce:sup>∗</ce:sup></ce:cross-ref></ce:author><ce:author><ce:given-name>Yu-Hen</ce:given-name><ce:surname>Hu</ce:surname><ce:cross-ref refid="AFF3"><ce:sup>‡</ce:sup></ce:cross-ref></ce:author><ce:author><ce:given-name>Gan-How</ce:given-name><ce:surname>Chang</ce:surname><ce:cross-ref refid="AFF1"><ce:sup>∗</ce:sup></ce:cross-ref></ce:author><ce:affiliation id="AFF1"><ce:label>a</ce:label><ce:textfn>Telecommunication Laboratories, Ministry of Transportation and Communications, 12 Lane 551, Min-Tsu Road, Yang Mei, Taoyuan, Taiwan 326, ROC</ce:textfn></ce:affiliation><ce:affiliation id="AFF2"><ce:label>b</ce:label><ce:textfn>Institute of Optical Science, National Central University, ROC</ce:textfn></ce:affiliation><ce:affiliation id="AFF3"><ce:label>c</ce:label><ce:textfn>Department of Electrical and Computer Engineering, University of Wisconsin-Madison, Madison, WI, USA</ce:textfn></ce:affiliation></ce:author-group><ce:date-received day="2" month="8" year="1994"></ce:date-received><ce:date-revised day="15" month="2" year="1995"></ce:date-revised><ce:abstract><ce:section-title>Abstract</ce:section-title><ce:abstract-sec><ce:simple-para>In this paper, we present a new automated Chinese printed document entry system. This system features automated text/ graph segmentation, and multi-font, multi-size printed Chinese character recognition. Experimental results show that 95.8–99.4% of the top 10 printed characters can be correctly recognized, with the speed of 0.16 seconds/character.</ce:simple-para></ce:abstract-sec></ce:abstract><ce:keywords><ce:section-title>Keywords</ce:section-title><ce:keyword><ce:text>document entry system</ce:text></ce:keyword><ce:keyword><ce:text>optical character recognition (OCR)</ce:text></ce:keyword><ce:keyword><ce:text>document analysis</ce:text></ce:keyword><ce:keyword><ce:text>feature extraction</ce:text></ce:keyword><ce:keyword><ce:text>segmentation</ce:text></ce:keyword></ce:keywords></head></converted-article></istex:document></istex:metadataXml><mods version="3.6"><titleInfo><title>Automated entry system for Chinese printed documents</title></titleInfo><titleInfo type="alternative" contentType="CDATA"><title>Automated entry system for Chinese printed documents</title></titleInfo><name type="personal"><namePart type="given">Bor-Shenn</namePart><namePart type="family">Jeng</namePart><affiliation>Telecommunication Laboratories, Ministry of Transportation and Communications, 12 Lane 551, Min-Tsu Road, Yang Mei, Taoyuan, Taiwan 326, ROC</affiliation><affiliation>Institute of Optical Science, National Central University, ROC</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Tung-Ming</namePart><namePart type="family">Shieh</namePart><affiliation>Institute of Optical Science, National Central University, ROC</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Char-Shin</namePart><namePart type="family">Miou</namePart><affiliation>Telecommunication Laboratories, Ministry of Transportation and Communications, 12 Lane 551, Min-Tsu Road, Yang Mei, Taoyuan, Taiwan 326, ROC</affiliation><affiliation>Institute of Optical Science, National Central University, ROC</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Chun-Jen</namePart><namePart type="family">Lee</namePart><affiliation>Telecommunication Laboratories, Ministry of Transportation and Communications, 12 Lane 551, Min-Tsu Road, Yang Mei, Taoyuan, Taiwan 326, ROC</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Bing-Shan</namePart><namePart type="family">Chien</namePart><affiliation>Telecommunication Laboratories, Ministry of Transportation and Communications, 12 Lane 551, Min-Tsu Road, Yang Mei, Taoyuan, Taiwan 326, ROC</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Yu-Hen</namePart><namePart type="family">Hu</namePart><affiliation>Department of Electrical and Computer Engineering, University of Wisconsin-Madison, Madison, WI, USA</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Gan-How</namePart><namePart type="family">Chang</namePart><affiliation>Telecommunication Laboratories, Ministry of Transportation and Communications, 12 Lane 551, Min-Tsu Road, Yang Mei, Taoyuan, Taiwan 326, ROC</affiliation><role><roleTerm type="text">author</roleTerm></role></name><typeOfResource>text</typeOfResource><genre type="research-article" displayLabel="Full-length article"></genre><originInfo><publisher>ELSEVIER</publisher><dateIssued encoding="w3cdtf">1994</dateIssued><dateCaptured encoding="w3cdtf">1994-08-02</dateCaptured><dateModified encoding="w3cdtf">1995-02-15</dateModified><copyrightDate encoding="w3cdtf">1995</copyrightDate></originInfo><language><languageTerm type="code" authority="iso639-2b">eng</languageTerm><languageTerm type="code" authority="rfc3066">en</languageTerm></language><physicalDescription><internetMediaType>text/html</internetMediaType></physicalDescription><abstract lang="en">In this paper, we present a new automated Chinese printed document entry system. This system features automated text/ graph segmentation, and multi-font, multi-size printed Chinese character recognition. Experimental results show that 95.8–99.4% of the top 10 printed characters can be correctly recognized, with the speed of 0.16 seconds/character.</abstract><subject><genre>Keywords</genre><topic>document entry system</topic><topic>optical character recognition (OCR)</topic><topic>document analysis</topic><topic>feature extraction</topic><topic>segmentation</topic></subject><relatedItem type="host"><titleInfo><title>Image and Vision Computing</title></titleInfo><titleInfo type="abbreviated"><title>IMAVIS</title></titleInfo><genre type="Journal">journal</genre><originInfo><dateIssued encoding="w3cdtf">199512</dateIssued></originInfo><identifier type="ISSN">0262-8856</identifier><identifier type="PII">S0262-8856(00)X0001-7</identifier><part><date>199512</date><detail type="volume"><number>13</number><caption>vol.</caption></detail><detail type="issue"><number>10</number><caption>no.</caption></detail><extent unit="issue pages"><start>709</start><end>779</end></extent><extent unit="pages"><start>745</start><end>754</end></extent></part></relatedItem><identifier type="istex">178170989E3D0C13726582DE97E3A51E8E0E59D6</identifier><identifier type="DOI">10.1016/0262-8856(95)98755-I</identifier><identifier type="PII">0262-8856(95)98755-I</identifier><recordInfo><recordContentSource>ELSEVIER</recordContentSource></recordInfo></mods></metadata><enrichments><istex:catWosTEI uri="https://api.istex.fr/document/178170989E3D0C13726582DE97E3A51E8E0E59D6/enrichments/catWos"><teiHeader><profileDesc><textClass><classCode scheme="WOS">COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE</classCode><classCode scheme="WOS">COMPUTER SCIENCE, SOFTWARE ENGINEERING</classCode><classCode scheme="WOS">COMPUTER SCIENCE, THEORY & METHODS</classCode><classCode scheme="WOS">ENGINEERING, ELECTRICAL & ELECTRONIC</classCode><classCode scheme="WOS">OPTICS</classCode></textClass></profileDesc></teiHeader></istex:catWosTEI></enrichments></istex></record>Pour manipuler ce document sous Unix (Dilib)
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