Cursive Handwritten Word Recognition by Integrating Multiple Classifiers
Identifieur interne : 002885 ( Istex/Corpus ); précédent : 002884; suivant : 002886Cursive Handwritten Word Recognition by Integrating Multiple Classifiers
Auteurs : Kenichi Maruyama ; Makoto Kobayashi ; Yasuaki Nakano ; Hirobumi YamadaSource :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 1999.
Abstract
Abstract: This paper proposes a methodf or cursive handwritten word recognition. In the traditional research, many cursive handwritten word recognition systems useda single methodfor character recognition. In this research, we propose a methodi ntegrating multiple character classifier to improve wordre cognition rate combining the results of them. As a result of the experiment using two classifiers, wordre cognition rate is improvedt han from those using a single character classifier.
Url:
DOI: 10.1007/3-540-48172-9_12
Links to Exploration step
ISTEX:DA4E90C3B9E6B339BD6751DB57491097F0C3645DLe document en format XML
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In the traditional research, many cursive handwritten word recognition systems useda single methodfor character recognition. In this research, we propose a methodi ntegrating multiple character classifier to improve wordre cognition rate combining the results of them. 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TocLevels="0"><ChapterID>12</ChapterID><ChapterDOI>10.1007/3-540-48172-9_12</ChapterDOI><ChapterSequenceNumber>12</ChapterSequenceNumber><ChapterTitle Language="En">Cursive Handwritten Word Recognition by Integrating Multiple Classifiers</ChapterTitle><ChapterFirstPage>140</ChapterFirstPage><ChapterLastPage>150</ChapterLastPage><ChapterCopyright><CopyrightHolderName>Springer-Verlag Berlin Heidelberg</CopyrightHolderName><CopyrightYear>1999</CopyrightYear></ChapterCopyright><ChapterHistory><RegistrationDate><Year>2003</Year><Month>5</Month><Day>12</Day></RegistrationDate><OnlineDate><Year>2003</Year><Month>5</Month><Day>13</Day></OnlineDate></ChapterHistory><ChapterGrants Type="Regular"><MetadataGrant Grant="OpenAccess"></MetadataGrant><AbstractGrant Grant="OpenAccess"></AbstractGrant><BodyPDFGrant Grant="Restricted"></BodyPDFGrant><BodyHTMLGrant Grant="Restricted"></BodyHTMLGrant><BibliographyGrant Grant="Restricted"></BibliographyGrant><ESMGrant Grant="Restricted"></ESMGrant></ChapterGrants><ChapterContext><SeriesID>558</SeriesID><PartID>3</PartID><BookID>3-540-48172-9</BookID><BookTitle>Document Analysis Systems: Theory and Practice</BookTitle></ChapterContext></ChapterInfo><ChapterHeader><AuthorGroup><Author AffiliationIDS="Aff6"><AuthorName DisplayOrder="Western"><GivenName>Kenichi</GivenName><FamilyName>Maruyama</FamilyName></AuthorName></Author><Author AffiliationIDS="Aff6"><AuthorName DisplayOrder="Western"><GivenName>Makoto</GivenName><FamilyName>Kobayashi</FamilyName></AuthorName></Author><Author AffiliationIDS="Aff7"><AuthorName DisplayOrder="Western"><GivenName>Yasuaki</GivenName><FamilyName>Nakano</FamilyName></AuthorName></Author><Author AffiliationIDS="Aff6"><AuthorName DisplayOrder="Western"><GivenName>Hirobumi</GivenName><FamilyName>Yamada</FamilyName></AuthorName></Author><Affiliation ID="Aff6"><OrgDivision>Dept. of Information Engineering</OrgDivision><OrgName>Shinshu University</OrgName><OrgAddress><City>Nagano</City><Country>Japan</Country></OrgAddress></Affiliation><Affiliation ID="Aff7"><OrgDivision>Faculty of Engineering</OrgDivision><OrgName>Toyohashi University of Technology</OrgName><OrgAddress><Street>Tenpakuchou</Street><City>Toyohashi, Aichi</City><Country>Japan</Country></OrgAddress></Affiliation></AuthorGroup><Abstract ID="Abs1" Language="En"><Heading>Abstract</Heading><Para>This paper proposes a methodf or cursive handwritten word recognition. In the traditional research, many cursive handwritten word recognition systems useda single methodfor character recognition. In this research, we propose a methodi ntegrating multiple character classifier to improve wordre cognition rate combining the results of them. As a result of the experiment using two classifiers, wordre cognition rate is improvedt han from those using a single character classifier.</Para></Abstract></ChapterHeader><NoBody></NoBody></Chapter></Part></Book></Series></Publisher></istex:document></istex:metadataXml><mods version="3.6"><titleInfo lang="en"><title>Cursive Handwritten Word Recognition by Integrating Multiple Classifiers</title></titleInfo><titleInfo type="alternative" contentType="CDATA" lang="en"><title>Cursive Handwritten Word Recognition by Integrating Multiple Classifiers</title></titleInfo><name type="personal"><namePart type="given">Kenichi</namePart><namePart type="family">Maruyama</namePart><affiliation>Dept. of Information Engineering, Shinshu University, Nagano, Japan</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Makoto</namePart><namePart type="family">Kobayashi</namePart><affiliation>Dept. of Information Engineering, Shinshu University, Nagano, Japan</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Yasuaki</namePart><namePart type="family">Nakano</namePart><affiliation>Faculty of Engineering, Toyohashi University of Technology, Tenpakuchou, Toyohashi, Aichi, Japan</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Hirobumi</namePart><namePart type="family">Yamada</namePart><affiliation>Dept. of Information Engineering, Shinshu University, Nagano, Japan</affiliation><role><roleTerm type="text">author</roleTerm></role></name><typeOfResource>text</typeOfResource><genre type="conference [eBooks]" displayLabel="OriginalPaper"></genre><originInfo><publisher>Springer Berlin Heidelberg</publisher><place><placeTerm type="text">Berlin, Heidelberg</placeTerm></place><dateIssued encoding="w3cdtf">1999</dateIssued><copyrightDate encoding="w3cdtf">1999</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: This paper proposes a methodf or cursive handwritten word recognition. In the traditional research, many cursive handwritten word recognition systems useda single methodfor character recognition. In this research, we propose a methodi ntegrating multiple character classifier to improve wordre cognition rate combining the results of them. As a result of the experiment using two classifiers, wordre cognition rate is improvedt han from those using a single character classifier.</abstract><relatedItem type="host"><titleInfo><title>Document Analysis Systems: Theory and Practice</title><subTitle>Third IAPR Workshop, DAS’98 Nagano, Japan, November 4–6, 1998 Selected Papers</subTitle></titleInfo><name type="personal"><namePart type="given">Seong-Whan</namePart><namePart type="family">Lee</namePart><affiliation>Korea University, Center for Artificial Vision Research Anam-dong, Seongbuk-ku, 136-701, Seoul, Korea</affiliation><affiliation>E-mail: swlee@image.korea.ac.kr</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Yasuaki</namePart><namePart type="family">Nakano</namePart><affiliation>Shinshu University, Department of Information Engineering, 500 Wakasato, 380-8553, Nagano, Japan</affiliation><affiliation>E-mail: nakano@cs.shinshu-u.ac.jp</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><genre type="Book Series" displayLabel="Proceedings"></genre><originInfo><copyrightDate encoding="w3cdtf">1999</copyrightDate><issuance>monographic</issuance></originInfo><subject><genre>Book Subject Collection</genre><topic authority="SpringerSubjectCodes" authorityURI="SUCO11645">Computer Science</topic></subject><subject><genre>Book Subject Group</genre><topic authority="SpringerSubjectCodes" authorityURI="I">Computer Science</topic><topic authority="SpringerSubjectCodes" authorityURI="I21033">Document Preparation and Text Processing</topic><topic authority="SpringerSubjectCodes" authorityURI="I2203X">Pattern Recognition</topic><topic authority="SpringerSubjectCodes" authorityURI="I22021">Image Processing and Computer Vision</topic></subject><identifier type="DOI">10.1007/3-540-48172-9</identifier><identifier type="ISBN">978-3-540-66507-6</identifier><identifier type="eISBN">978-3-540-48172-0</identifier><identifier type="ISSN">0302-9743</identifier><identifier type="BookTitleID">59670</identifier><identifier type="BookID">3-540-48172-9</identifier><identifier type="BookChapterCount">29</identifier><identifier type="BookVolumeNumber">1655</identifier><identifier type="BookSequenceNumber">1655</identifier><identifier type="PartChapterCount">5</identifier><part><date>1999</date><detail type="part"><title>Part III: Handwriting Recognition</title></detail><detail type="volume"><number>1655</number><caption>vol.</caption></detail><extent unit="pages"><start>140</start><end>150</end></extent></part><recordInfo><recordOrigin>Springer-Verlag Berlin Heidelberg, 1999</recordOrigin></recordInfo></relatedItem><relatedItem type="series"><titleInfo><title>Lecture Notes in Computer Science</title></titleInfo><name type="personal"><namePart type="given">Gerhard</namePart><namePart type="family">Goos</namePart><affiliation>Karlsruhe University, Germany</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Juris</namePart><namePart type="family">Hartmanis</namePart><affiliation>Cornell University, NY, USA</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Jan</namePart><namePart type="family">van Leeuwen</namePart><affiliation>Utrecht University, The Netherlands</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><originInfo><copyrightDate encoding="w3cdtf">1999</copyrightDate><issuance>serial</issuance></originInfo><identifier type="ISSN">0302-9743</identifier><identifier type="SeriesID">558</identifier><part><detail type="volume"><number>Part III</number><caption>vol.</caption></detail></part><recordInfo><recordOrigin>Springer-Verlag Berlin Heidelberg, 1999</recordOrigin></recordInfo></relatedItem><identifier type="istex">DA4E90C3B9E6B339BD6751DB57491097F0C3645D</identifier><identifier type="DOI">10.1007/3-540-48172-9_12</identifier><identifier type="ChapterID">12</identifier><identifier type="ChapterID">Chap12</identifier><accessCondition type="use and reproduction" contentType="copyright">Springer-Verlag Berlin Heidelberg, 1999</accessCondition><recordInfo><recordContentSource>SPRINGER</recordContentSource><recordOrigin>Springer-Verlag Berlin Heidelberg, 1999</recordOrigin></recordInfo></mods></metadata><enrichments><istex:refBibTEI uri="https://api.istex.fr/document/DA4E90C3B9E6B339BD6751DB57491097F0C3645D/enrichments/refBib"><teiHeader></teiHeader><text><front></front><body></body><back><listBibl><biblStruct xml:id="b0"><analytic><title level="a" type="main">A Report on the Accuracy of OCR Devices. 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