Construction of Model of Structured Documents Based on Machine Learning
Identifieur interne : 001415 ( Istex/Corpus ); précédent : 001414; suivant : 001416Construction of Model of Structured Documents Based on Machine Learning
Auteurs : Sergey GolubevSource :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2011.
Abstract
Abstract: In this paper we consider the problem of structured document recognition. The document recognition system is proposed. This system incorporates a recognition module based on methods of structured image recognition, a graph document model and a method of document model generalization. The machine learning component makes the process of document model construction easier and less time-consuming.
Url:
DOI: 10.1007/978-3-642-21786-9_69
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ISTEX:99B7322593E80C6F13900287F4678EF6E8C661F2Le document en format XML
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Robotics)</BookSubject><BookSubject Code="I2203X" Priority="3" Type="Secondary">Pattern Recognition</BookSubject><BookSubject Code="I18040" Priority="4" Type="Secondary">Information Systems Applications (incl.Internet)</BookSubject><BookSubject Code="I18032" Priority="5" Type="Secondary">Information Storage and Retrieval</BookSubject><BookSubject Code="I16021" Priority="6" Type="Secondary">Algorithm Analysis and Problem Complexity</BookSubject><SubjectCollection Code="SUCO11645">Computer Science</SubjectCollection></BookSubjectGroup><BookContext><SeriesID>558</SeriesID></BookContext></BookInfo><BookHeader><EditorGroup><Editor AffiliationIDS="Aff16"><EditorName DisplayOrder="Western"><GivenName>Sergei</GivenName><GivenName>O.</GivenName><FamilyName>Kuznetsov</FamilyName></EditorName><Contact><Email>skuznetsov@hse.ru</Email></Contact></Editor><Editor AffiliationIDS="Aff17"><EditorName DisplayOrder="Western"><GivenName>Deba</GivenName><GivenName>P.</GivenName><FamilyName>Mandal</FamilyName></EditorName><Contact><Email>dpmandal@isical.ac.in</Email></Contact></Editor><Editor AffiliationIDS="Aff18"><EditorName DisplayOrder="Western"><GivenName>Malay</GivenName><GivenName>K.</GivenName><FamilyName>Kundu</FamilyName></EditorName><Contact><Email>malay@isical.ac.in</Email></Contact></Editor><Editor AffiliationIDS="Aff18"><EditorName DisplayOrder="Western"><GivenName>Sankar</GivenName><GivenName>K.</GivenName><FamilyName>Pal</FamilyName></EditorName><Contact><Email>sankar@isical.ac.in</Email></Contact></Editor><Affiliation ID="Aff16"><OrgName>State University Higher School of Economics</OrgName><OrgAddress><Street>Pokrovskiy Bd. 11</Street><Postcode>109028</Postcode><City>Moscow</City><Country>Russia</Country></OrgAddress></Affiliation><Affiliation ID="Aff17"><OrgDivision>Machine Intelligence Unit</OrgDivision><OrgName>Indian Statistical Institute</OrgName><OrgAddress><Street>201, B.T. Road</Street><Postcode>700108</Postcode><City>Kolkata</City><Country>India</Country></OrgAddress></Affiliation><Affiliation ID="Aff18"><OrgDivision>Machine Intelligence</OrgDivision><OrgName>Indian Statistical Institute</OrgName><OrgAddress><Street>Unit, 201, B.T. Road</Street><Postcode>700108</Postcode><City>Kolkata</City><Country>India</Country></OrgAddress></Affiliation></EditorGroup></BookHeader><Part ID="Part10"><PartInfo TocLevels="0"><PartID>10</PartID><PartSequenceNumber>10</PartSequenceNumber><PartTitle>Document Image Processing</PartTitle><PartChapterCount>9</PartChapterCount><PartContext><SeriesID>558</SeriesID><BookTitle>Pattern Recognition and Machine Intelligence</BookTitle></PartContext></PartInfo><Chapter ID="Chap69" Language="En"><ChapterInfo ChapterType="OriginalPaper" ContainsESM="No" NumberingDepth="2" NumberingStyle="ContentOnly" TocLevels="0"><ChapterID>69</ChapterID><ChapterDOI>10.1007/978-3-642-21786-9_69</ChapterDOI><ChapterSequenceNumber>69</ChapterSequenceNumber><ChapterTitle Language="En">Construction of Model of Structured Documents Based on Machine Learning</ChapterTitle><ChapterFirstPage>424</ChapterFirstPage><ChapterLastPage>431</ChapterLastPage><ChapterCopyright><CopyrightHolderName>Springer-Verlag Berlin Heidelberg</CopyrightHolderName><CopyrightYear>2011</CopyrightYear></ChapterCopyright><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>10</PartID><BookID>978-3-642-21786-9</BookID><BookTitle>Pattern Recognition and Machine Intelligence</BookTitle></ChapterContext></ChapterInfo><ChapterHeader><AuthorGroup><Author AffiliationIDS="Aff19 Aff20"><AuthorName DisplayOrder="Western"><GivenName>Sergey</GivenName><FamilyName>Golubev</FamilyName></AuthorName><Contact><Email>Gergey_G@abbyy.com</Email></Contact></Author><Affiliation ID="Aff19"><OrgName>Moscow Institute of Physics and Technology</OrgName><OrgAddress><City>Dolgoprudny</City><Country>Russia</Country></OrgAddress></Affiliation><Affiliation ID="Aff20"><OrgName>ABBYY Software</OrgName><OrgAddress><City>Moscow</City><Country>Russia</Country></OrgAddress></Affiliation></AuthorGroup><Abstract ID="Abs1" Language="En"><Heading>Abstract</Heading><Para>In this paper we consider the problem of structured document recognition. The document recognition system is proposed. This system incorporates a recognition module based on methods of structured image recognition, a graph document model and a method of document model generalization. The machine learning component makes the process of document model construction easier and less time-consuming.</Para></Abstract><KeywordGroup Language="En"><Heading>Keywords</Heading><Keyword>document recognition</Keyword><Keyword>machine learning</Keyword><Keyword>graph document model</Keyword></KeywordGroup></ChapterHeader><NoBody></NoBody></Chapter></Part></Book></Series></Publisher></istex:document></istex:metadataXml><mods version="3.6"><titleInfo lang="en"><title>Construction of Model of Structured Documents Based on Machine Learning</title></titleInfo><titleInfo type="alternative" contentType="CDATA" lang="en"><title>Construction of Model of Structured Documents Based on Machine Learning</title></titleInfo><name type="personal"><namePart type="given">Sergey</namePart><namePart type="family">Golubev</namePart><affiliation>Moscow Institute of Physics and Technology, Dolgoprudny, Russia</affiliation><affiliation>ABBYY Software, Moscow, Russia</affiliation><affiliation>E-mail: Gergey_G@abbyy.com</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">2011</dateIssued><copyrightDate encoding="w3cdtf">2011</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: In this paper we consider the problem of structured document recognition. The document recognition system is proposed. This system incorporates a recognition module based on methods of structured image recognition, a graph document model and a method of document model generalization. The machine learning component makes the process of document model construction easier and less time-consuming.</abstract><relatedItem type="host"><titleInfo><title>Pattern Recognition and Machine Intelligence</title><subTitle>4th International Conference, PReMI 2011, Moscow, Russia, June 27 - July 1, 2011. Proceedings</subTitle></titleInfo><name type="personal"><namePart type="given">Sergei</namePart><namePart type="given">O.</namePart><namePart type="family">Kuznetsov</namePart><affiliation>State University Higher School of Economics, Pokrovskiy Bd. 11, 109028, Moscow, Russia</affiliation><affiliation>E-mail: skuznetsov@hse.ru</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Deba</namePart><namePart type="given">P.</namePart><namePart type="family">Mandal</namePart><affiliation>Machine Intelligence Unit, Indian Statistical Institute, 201, B.T. Road, 700108, Kolkata, India</affiliation><affiliation>E-mail: dpmandal@isical.ac.in</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Malay</namePart><namePart type="given">K.</namePart><namePart type="family">Kundu</namePart><affiliation>Machine Intelligence, Indian Statistical Institute, Unit, 201, B.T. Road, 700108, Kolkata, India</affiliation><affiliation>E-mail: malay@isical.ac.in</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Sankar</namePart><namePart type="given">K.</namePart><namePart type="family">Pal</namePart><affiliation>Machine Intelligence, Indian Statistical Institute, Unit, 201, B.T. 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Robotics)</topic><topic authority="SpringerSubjectCodes" authorityURI="I2203X">Pattern Recognition</topic><topic authority="SpringerSubjectCodes" authorityURI="I18040">Information Systems Applications (incl.Internet)</topic><topic authority="SpringerSubjectCodes" authorityURI="I18032">Information Storage and Retrieval</topic><topic authority="SpringerSubjectCodes" authorityURI="I16021">Algorithm Analysis and Problem Complexity</topic></subject><identifier type="DOI">10.1007/978-3-642-21786-9</identifier><identifier type="ISBN">978-3-642-21785-2</identifier><identifier type="eISBN">978-3-642-21786-9</identifier><identifier type="ISSN">0302-9743</identifier><identifier type="eISSN">1611-3349</identifier><identifier type="BookTitleID">271137</identifier><identifier type="BookID">978-3-642-21786-9</identifier><identifier type="BookChapterCount">76</identifier><identifier type="BookVolumeNumber">6744</identifier><identifier type="BookSequenceNumber">6744</identifier><identifier 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type="given">Josef</namePart><namePart type="family">Kittler</namePart><affiliation>University of Surrey, Guildford, UK</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Jon</namePart><namePart type="given">M.</namePart><namePart type="family">Kleinberg</namePart><affiliation>Cornell University, Ithaca, NY, USA</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Friedemann</namePart><namePart type="family">Mattern</namePart><affiliation>ETH Zurich, Zurich, Switzerland</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">John</namePart><namePart type="given">C.</namePart><namePart type="family">Mitchell</namePart><affiliation>Stanford University, Stanford, CA, USA</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart 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Heidelberg, 2011</recordOrigin></recordInfo></mods></metadata><enrichments><istex:refBibTEI uri="https://api.istex.fr/document/99B7322593E80C6F13900287F4678EF6E8C661F2/enrichments/refBib"><teiHeader></teiHeader><text><front></front><body></body><back><listBibl><biblStruct xml:id="b0"><monogr><title></title><author><persName><forename type="first">→</forename><surname>Letter</surname></persName></author><author><persName><surname>Word</surname></persName></author><imprint></imprint></monogr><note>Text. line → Text fragment 2. Separator fragment → Separator line 3. Picture fragment → Picture</note></biblStruct><biblStruct xml:id="b1"><analytic><title level="a" type="main">Model Matching in Intelligent Document Understanding</title><author><persName><forename type="first">G</forename><forename type="middle">S D</forename><surname>Farrow</surname></persName></author></analytic><monogr><title level="m">Proc. of ICDAR 1995</title><meeting>. of ICDAR 1995</meeting><imprint><date type="published" when="1995"></date></imprint></monogr></biblStruct><biblStruct xml:id="b2"><analytic><title level="a" type="main">Analyzing Form Images by Using Line-Shared-Adjacent Cell Relations</title><author><persName><forename type="first">Y</forename><surname>Hirayama</surname></persName></author></analytic><monogr><title level="m">Proc. of IAPR 1996</title><meeting>. of IAPR 1996</meeting><imprint><date type="published" when="1996"></date></imprint></monogr></biblStruct><biblStruct xml:id="b3"><analytic><title level="a" type="main">Four Directional Adjacency Graphs (FDAG) and Their Application in Locating Fields in Forms</title><author><persName><forename type="first">J</forename><surname>Yuan</surname></persName></author><author><persName><forename type="first">Y</forename><forename type="middle">Y</forename><surname>Tang</surname></persName></author><author><persName><forename type="first">C</forename><forename type="middle">Y</forename><surname>Suen</surname></persName></author></analytic><monogr><title level="m">Proc. of ICDAR 1995</title><meeting>. of ICDAR 1995</meeting><imprint><date type="published" when="1995"></date></imprint></monogr></biblStruct><biblStruct xml:id="b4"><analytic><title level="a" type="main">System for Identification of Structure of Printed Documents</title><author><persName><forename type="first">K</forename><forename type="middle">A</forename><surname>Zuyev</surname></persName></author></analytic><monogr><title level="j">Candidate of Science Dissertation, MGUL (in Russian)</title><imprint><date type="published" when="1999"></date></imprint></monogr></biblStruct><biblStruct xml:id="b5"><analytic><title level="a" type="main">Mining Graph Data</title><author><persName><forename type="first">D</forename><surname>Cook</surname></persName></author><author><persName><forename type="first">L</forename><surname>Holder</surname></persName></author></analytic><monogr><title level="j">Wiley Interscience</title><imprint><date type="published" when="2006"></date></imprint></monogr></biblStruct><biblStruct xml:id="b6"><monogr><title level="m" type="main">An efficient algorithm for discovering frequent subgraphs , Tech. Rep. 02-026 Minneapolis</title><author><persName><forename type="first">M</forename><surname>Kuramochi</surname></persName></author><author><persName><forename type="first">G</forename><surname>Karypis</surname></persName></author><imprint><date type="published" when="2002"></date><publisher>University of Minnesota</publisher></imprint></monogr></biblStruct><biblStruct xml:id="b7"><analytic><title level="a" type="main">A probabilistic approach to learning costs for graph edit distance</title><author><persName><forename type="first">M</forename><surname>Neuhaus</surname></persName></author><author><persName><forename type="first">H</forename><surname>Bunke</surname></persName></author></analytic><monogr><title level="m">Proceedings 17th International Conference on Pattern Recognition</title><meeting>17th International Conference on Pattern Recognition</meeting><imprint><date type="published" when="2004"></date></imprint></monogr></biblStruct><biblStruct xml:id="b8"><analytic><title level="a" type="main">gSpan: Graph-Based Substructure Pattern Mining</title><author><persName><forename type="first">X</forename><surname>Yan</surname></persName></author><author><persName><forename type="first">J</forename><surname>Han</surname></persName></author></analytic><monogr><title level="m">Proc. IEEE International Conference on Data Mining</title><meeting>. IEEE International Conference on Data Mining<address><addrLine>Los Alamitos</addrLine></address></meeting><imprint><date type="published" when="2002"></date></imprint></monogr></biblStruct></listBibl></back></text></istex:refBibTEI></enrichments></istex></record>Pour manipuler ce document sous Unix (Dilib)
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