Spontaneous Handwriting Text Recognition and Classification Using Finite-State Models
Identifieur interne : 002D55 ( Istex/Corpus ); précédent : 002D54; suivant : 002D56Spontaneous Handwriting Text Recognition and Classification Using Finite-State Models
Auteurs : Héctor Toselli ; Moisés Pastor ; Alfons Juan ; Enrique VidalSource :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2005.
Abstract
Abstract: Finite-state models are used to implement a handwritten text recognition and classification system for a real application entailing casual, spontaneous writing with large vocabulary. Handwritten short phrases which involve a wide variety of writing styles and contain many non-textual artifacts, are to be classified into a small number of predefined classes. To this end, two different types of statistical framework for phrase recognition-classification are considered, based on finite-state models. HMMs are used for text recognition process. Depending to the considered architecture, N-grams are used for performing text recognition and then text classification (serial approach) or for performing both simultaneously (integrated approach). The multinomial text classifier is also employed in the classification phase of the serial approach. Experimental results are reported which, given the extreme difficulty of the task, are encouraging.
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DOI: 10.1007/11492542_45
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ajuan@iti.upv.es</mods:affiliation></affiliation></author><author><name sortKey="Vidal, Enrique" sort="Vidal, Enrique" uniqKey="Vidal E" first="Enrique" last="Vidal">Enrique Vidal</name><affiliation><mods:affiliation>Instituto Tecnológico de Informática and, Departamento de Sistemas Informáticos y Computación, ITI/DSIC, Universidad Politécnica de Valencia, 46071, Valencia, Spain</mods:affiliation></affiliation><affiliation><mods:affiliation>E-mail: evidal@iti.upv.es</mods:affiliation></affiliation></author></analytic><monogr></monogr><series><title level="s">Lecture Notes in Computer Science</title><imprint><date>2005</date></imprint><idno type="ISSN">0302-9743</idno><idno type="eISSN">1611-3349</idno><idno type="ISSN">0302-9743</idno></series><idno type="istex">372C0005915FE57DA0982AD2FF1F430D746E698A</idno><idno type="DOI">10.1007/11492542_45</idno><idno type="ChapterID">45</idno><idno type="ChapterID">Chap45</idno></biblStruct></sourceDesc><seriesStmt><idno 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Handwritten short phrases which involve a wide variety of writing styles and contain many non-textual artifacts, are to be classified into a small number of predefined classes. To this end, two different types of statistical framework for phrase recognition-classification are considered, based on finite-state models. HMMs are used for text recognition process. Depending to the considered architecture, N-grams are used for performing text recognition and then text classification (serial approach) or for performing both simultaneously (integrated approach). The multinomial text classifier is also employed in the classification phase of the serial approach. Experimental results are reported which, given the extreme difficulty of the task, are encouraging.</div></front></TEI><istex><corpusName>springer</corpusName><author><json:item><name>Alejandro Héctor Toselli</name><affiliations><json:string>Instituto Tecnológico de Informática and, Departamento de Sistemas Informáticos y Computación, ITI/DSIC, Universidad Politécnica de Valencia, 46071, Valencia, Spain</json:string><json:string>E-mail: ahector@iti.upv.es</json:string></affiliations></json:item><json:item><name>Moisés Pastor</name><affiliations><json:string>Instituto Tecnológico de Informática and, Departamento de Sistemas Informáticos y Computación, ITI/DSIC, Universidad Politécnica de Valencia, 46071, Valencia, Spain</json:string><json:string>E-mail: moises@iti.upv.es</json:string></affiliations></json:item><json:item><name>Alfons Juan</name><affiliations><json:string>Instituto Tecnológico de Informática and, Departamento de Sistemas Informáticos y Computación, ITI/DSIC, Universidad Politécnica de Valencia, 46071, Valencia, Spain</json:string><json:string>E-mail: ajuan@iti.upv.es</json:string></affiliations></json:item><json:item><name>Enrique Vidal</name><affiliations><json:string>Instituto Tecnológico de Informática and, Departamento de Sistemas Informáticos y Computación, ITI/DSIC, Universidad Politécnica de Valencia, 46071, Valencia, Spain</json:string><json:string>E-mail: evidal@iti.upv.es</json:string></affiliations></json:item></author><language><json:string>eng</json:string></language><abstract>Abstract: Finite-state models are used to implement a handwritten text recognition and classification system for a real application entailing casual, spontaneous writing with large vocabulary. 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Handwritten short phrases which involve a wide variety of writing styles and contain many non-textual artifacts, are to be classified into a small number of predefined classes. To this end, two different types of statistical framework for phrase recognition-classification are considered, based on finite-state models. HMMs are used for text recognition process. Depending to the considered architecture, N-grams are used for performing text recognition and then text classification (serial approach) or for performing both simultaneously (integrated approach). The multinomial text classifier is also employed in the classification phase of the serial approach. Experimental results are reported which, given the extreme difficulty of the task, are encouraging.</p></abstract><textClass><keywords scheme="Book Subject Collection"><list><label>SUCO11645</label><item><term>Computer Science</term></item></list></keywords></textClass><textClass><keywords scheme="Book Subject Group"><list><label>I</label><label>I22021</label><label>I21017</label><label>I21033</label><label>I22013</label><label>I2203X</label><item><term>Computer Science</term></item><item><term>Image Processing and Computer Vision</term></item><item><term>Artificial Intelligence (incl. 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DisplayOrder="Western"><GivenName>Bernhard</GivenName><FamilyName>Steffen</FamilyName></EditorName></Editor><Editor AffiliationIDS="Aff11"><EditorName DisplayOrder="Western"><GivenName>Madhu</GivenName><FamilyName>Sudan</FamilyName></EditorName></Editor><Editor AffiliationIDS="Aff12"><EditorName DisplayOrder="Western"><GivenName>Demetri</GivenName><FamilyName>Terzopoulos</FamilyName></EditorName></Editor><Editor AffiliationIDS="Aff13"><EditorName DisplayOrder="Western"><GivenName>Dough</GivenName><FamilyName>Tygar</FamilyName></EditorName></Editor><Editor AffiliationIDS="Aff14"><EditorName DisplayOrder="Western"><GivenName>Moshe</GivenName><GivenName>Y.</GivenName><FamilyName>Vardi</FamilyName></EditorName></Editor><Editor AffiliationIDS="Aff15"><EditorName DisplayOrder="Western"><GivenName>Gerhard</GivenName><FamilyName>Weikum</FamilyName></EditorName></Editor><Affiliation ID="Aff1"><OrgName>Lancaster University</OrgName><OrgAddress><Country>UK</Country></OrgAddress></Affiliation><Affiliation ID="Aff2"><OrgName>Carnegie Mellon University</OrgName><OrgAddress><City>Pittsburgh</City><State>PA</State><Country>USA</Country></OrgAddress></Affiliation><Affiliation ID="Aff3"><OrgName>University of Surrey</OrgName><OrgAddress><City>Guildford</City><Country>UK</Country></OrgAddress></Affiliation><Affiliation ID="Aff4"><OrgName>Cornell University</OrgName><OrgAddress><City>Ithaca</City><State>NY</State><Country>USA</Country></OrgAddress></Affiliation><Affiliation ID="Aff5"><OrgName>ETH Zurich</OrgName><OrgAddress><Country>Switzerland</Country></OrgAddress></Affiliation><Affiliation ID="Aff6"><OrgName>Stanford University</OrgName><OrgAddress><City>CA</City><Country>USA</Country></OrgAddress></Affiliation><Affiliation ID="Aff7"><OrgName>Weizmann Institute of Science</OrgName><OrgAddress><City>Rehovot</City><Country>Israel</Country></OrgAddress></Affiliation><Affiliation ID="Aff8"><OrgName>University of Bern</OrgName><OrgAddress><Country>Switzerland</Country></OrgAddress></Affiliation><Affiliation ID="Aff9"><OrgName>Indian Institute of Technology</OrgName><OrgAddress><City>Madras</City><Country>India</Country></OrgAddress></Affiliation><Affiliation ID="Aff10"><OrgName>University of Dortmund</OrgName><OrgAddress><Country>Germany</Country></OrgAddress></Affiliation><Affiliation ID="Aff11"><OrgName>Massachusetts Institute of Technology</OrgName><OrgAddress><City>MA</City><Country>USA</Country></OrgAddress></Affiliation><Affiliation ID="Aff12"><OrgName>New York University</OrgName><OrgAddress><City>NY</City><Country>USA</Country></OrgAddress></Affiliation><Affiliation ID="Aff13"><OrgName>University of California</OrgName><OrgAddress><City>Berkeley</City><State>CA</State><Country>USA</Country></OrgAddress></Affiliation><Affiliation ID="Aff14"><OrgName>Rice University</OrgName><OrgAddress><City>Houston</City><State>TX</State><Country>USA</Country></OrgAddress></Affiliation><Affiliation ID="Aff15"><OrgName>Max-Planck Institute of Computer Science</OrgName><OrgAddress><City>Saarbruecken</City><Country>Germany</Country></OrgAddress></Affiliation></EditorGroup></SeriesHeader><Book Language="En"><BookInfo BookProductType="Proceedings" ContainsESM="No" Language="En" MediaType="eBook" NumberingDepth="2" NumberingStyle="ContentOnly" OutputMedium="All" TocLevels="0"><BookID>978-3-540-32238-2</BookID><BookTitle>Pattern Recognition and Image Analysis</BookTitle><BookSubTitle>Second Iberian Conference, IbPRIA 2005, Estoril, Portugal, June 7-9, 2005, Proceedings, Part II</BookSubTitle><BookVolumeNumber>3523</BookVolumeNumber><BookSequenceNumber>3523</BookSequenceNumber><BookDOI>10.1007/b136831</BookDOI><BookTitleID>124521</BookTitleID><BookPrintISBN>978-3-540-26154-4</BookPrintISBN><BookElectronicISBN>978-3-540-32238-2</BookElectronicISBN><BookChapterCount>88</BookChapterCount><BookCopyright><CopyrightHolderName>Springer-Verlag Berlin Heidelberg</CopyrightHolderName><CopyrightYear>2005</CopyrightYear></BookCopyright><BookSubjectGroup><BookSubject Code="I" Type="Primary">Computer Science</BookSubject><BookSubject Code="I22021" Priority="1" Type="Secondary">Image Processing and Computer Vision</BookSubject><BookSubject Code="I21017" Priority="2" Type="Secondary">Artificial Intelligence (incl. Robotics)</BookSubject><BookSubject Code="I21033" Priority="3" Type="Secondary">Document Preparation and Text Processing</BookSubject><BookSubject Code="I22013" Priority="4" Type="Secondary">Computer Graphics</BookSubject><BookSubject Code="I2203X" Priority="5" Type="Secondary">Pattern Recognition</BookSubject><SubjectCollection Code="SUCO11645">Computer Science</SubjectCollection></BookSubjectGroup><BookContext><SeriesID>558</SeriesID></BookContext></BookInfo><BookHeader><EditorGroup><Editor AffiliationIDS="Aff16"><EditorName DisplayOrder="Western"><GivenName>Jorge</GivenName><GivenName>S.</GivenName><FamilyName>Marques</FamilyName></EditorName><Contact><Email>jsm@isr.ist.utl.pt</Email></Contact></Editor><Editor AffiliationIDS="Aff17"><EditorName DisplayOrder="Western"><GivenName>Nicolás</GivenName><FamilyName>Pérez de la Blanca</FamilyName></EditorName><Contact><Email>nicolas@decsai.ugr.es</Email></Contact></Editor><Editor AffiliationIDS="Aff18"><EditorName DisplayOrder="Western"><GivenName>Pedro</GivenName><FamilyName>Pina</FamilyName></EditorName><Contact><Email>ppina@alfa.ist.utl.pt</Email></Contact></Editor><Affiliation ID="Aff16"><OrgName>Instituto Superior Técnico & Instituto de Sistemas e Robótica,</OrgName><OrgAddress><Postcode>1049-001</Postcode><City>Lisboa</City><Country>Portugal</Country></OrgAddress></Affiliation><Affiliation ID="Aff17"><OrgDivision>ETSI Informática y e Telecomunicación</OrgDivision><OrgName>University of Granada</OrgName><OrgAddress><Postcode>18071</Postcode><City>Granada</City><Country>Spain</Country></OrgAddress></Affiliation><Affiliation ID="Aff18"><OrgDivision>Instituto Superior Técnico</OrgDivision><OrgName>CERENA-Centro de Recursos Naturais e Ambiente</OrgName><OrgAddress><Street>Av. Rovisco Pais</Street><Postcode>1049-001</Postcode><City>Lisboa</City><Country>Portugal</Country></OrgAddress></Affiliation></EditorGroup></BookHeader><Part ID="Part4"><PartInfo TocLevels="0"><PartID>4</PartID><PartNumber>IV</PartNumber><PartSequenceNumber>4</PartSequenceNumber><PartTitle>Document Analysis</PartTitle><PartChapterCount>5</PartChapterCount><PartContext><SeriesID>558</SeriesID><BookTitle>Pattern Recognition and Image Analysis</BookTitle></PartContext></PartInfo><Chapter ID="Chap45" Language="En"><ChapterInfo ChapterType="OriginalPaper" ContainsESM="No" NumberingDepth="2" NumberingStyle="ContentOnly" TocLevels="0"><ChapterID>45</ChapterID><ChapterDOI>10.1007/11492542_45</ChapterDOI><ChapterSequenceNumber>45</ChapterSequenceNumber><ChapterTitle Language="En">Spontaneous Handwriting Text Recognition and Classification Using Finite-State Models</ChapterTitle><ChapterFirstPage>363</ChapterFirstPage><ChapterLastPage>370</ChapterLastPage><ChapterCopyright><CopyrightHolderName>Springer-Verlag Berlin Heidelberg</CopyrightHolderName><CopyrightYear>2005</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>4</PartID><BookID>978-3-540-32238-2</BookID><BookTitle>Pattern Recognition and Image Analysis</BookTitle></ChapterContext></ChapterInfo><ChapterHeader><AuthorGroup><Author AffiliationIDS="Aff19"><AuthorName DisplayOrder="Western"><GivenName>Alejandro</GivenName><GivenName>Héctor</GivenName><FamilyName>Toselli</FamilyName></AuthorName><Contact><Email>ahector@iti.upv.es</Email></Contact></Author><Author AffiliationIDS="Aff19"><AuthorName DisplayOrder="Western"><GivenName>Moisés</GivenName><FamilyName>Pastor</FamilyName></AuthorName><Contact><Email>moises@iti.upv.es</Email></Contact></Author><Author AffiliationIDS="Aff19"><AuthorName DisplayOrder="Western"><GivenName>Alfons</GivenName><FamilyName>Juan</FamilyName></AuthorName><Contact><Email>ajuan@iti.upv.es</Email></Contact></Author><Author AffiliationIDS="Aff19"><AuthorName DisplayOrder="Western"><GivenName>Enrique</GivenName><FamilyName>Vidal</FamilyName></AuthorName><Contact><Email>evidal@iti.upv.es</Email></Contact></Author><Affiliation ID="Aff19"><OrgDivision>Instituto Tecnológico de Informática and, Departamento de Sistemas Informáticos y Computación, ITI/DSIC</OrgDivision><OrgName>Universidad Politécnica de Valencia</OrgName><OrgAddress><Postcode>46071</Postcode><City>Valencia</City><Country>Spain</Country></OrgAddress></Affiliation></AuthorGroup><Abstract ID="Abs1" Language="En"><Heading>Abstract</Heading><Para>Finite-state models are used to implement a handwritten text recognition and classification system for a real application entailing casual, spontaneous writing with large vocabulary. Handwritten short phrases which involve a wide variety of writing styles and contain many non-textual artifacts, are to be classified into a small number of predefined classes. To this end, two different types of statistical framework for phrase recognition-classification are considered, based on finite-state models. HMMs are used for text recognition process. Depending to the considered architecture, <Emphasis Type="Italic">N</Emphasis>-grams are used for performing text recognition and then text classification (serial approach) or for performing both simultaneously (integrated approach). The multinomial text classifier is also employed in the classification phase of the serial approach. Experimental results are reported which, given the extreme difficulty of the task, are encouraging.</Para></Abstract><ArticleNote Type="Misc"><SimplePara>This work has been supported by <Emphasis Type="Italic">Agencia Valenciana de Ciencia y Tecnología</Emphasis> under contract GRUPOS03/031 and Spanish <Emphasis Type="Italic">Ministerio de Ciencia y Tecnología</Emphasis> under grant TIC2003-08496-C04-02.</SimplePara></ArticleNote></ChapterHeader><NoBody></NoBody></Chapter></Part></Book></Series></Publisher></istex:document></istex:metadataXml><mods version="3.6"><titleInfo lang="en"><title>Spontaneous Handwriting Text Recognition and Classification Using Finite-State Models</title></titleInfo><titleInfo type="alternative" contentType="CDATA" lang="en"><title>Spontaneous Handwriting Text Recognition and Classification Using Finite-State Models</title></titleInfo><name type="personal"><namePart type="given">Alejandro</namePart><namePart type="given">Héctor</namePart><namePart type="family">Toselli</namePart><affiliation>Instituto Tecnológico de Informática and, Departamento de Sistemas Informáticos y Computación, ITI/DSIC, Universidad Politécnica de Valencia, 46071, Valencia, Spain</affiliation><affiliation>E-mail: ahector@iti.upv.es</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Moisés</namePart><namePart type="family">Pastor</namePart><affiliation>Instituto Tecnológico de Informática and, Departamento de Sistemas Informáticos y Computación, ITI/DSIC, Universidad Politécnica de Valencia, 46071, Valencia, Spain</affiliation><affiliation>E-mail: moises@iti.upv.es</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Alfons</namePart><namePart type="family">Juan</namePart><affiliation>Instituto Tecnológico de Informática and, Departamento de Sistemas Informáticos y Computación, ITI/DSIC, Universidad Politécnica de Valencia, 46071, Valencia, Spain</affiliation><affiliation>E-mail: ajuan@iti.upv.es</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Enrique</namePart><namePart type="family">Vidal</namePart><affiliation>Instituto Tecnológico de Informática and, Departamento de Sistemas Informáticos y Computación, ITI/DSIC, Universidad Politécnica de Valencia, 46071, Valencia, Spain</affiliation><affiliation>E-mail: evidal@iti.upv.es</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">2005</dateIssued><copyrightDate encoding="w3cdtf">2005</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: Finite-state models are used to implement a handwritten text recognition and classification system for a real application entailing casual, spontaneous writing with large vocabulary. Handwritten short phrases which involve a wide variety of writing styles and contain many non-textual artifacts, are to be classified into a small number of predefined classes. To this end, two different types of statistical framework for phrase recognition-classification are considered, based on finite-state models. HMMs are used for text recognition process. Depending to the considered architecture, N-grams are used for performing text recognition and then text classification (serial approach) or for performing both simultaneously (integrated approach). The multinomial text classifier is also employed in the classification phase of the serial approach. Experimental results are reported which, given the extreme difficulty of the task, are encouraging.</abstract><relatedItem type="host"><titleInfo><title>Pattern Recognition and Image Analysis</title><subTitle>Second Iberian Conference, IbPRIA 2005, Estoril, Portugal, June 7-9, 2005, Proceedings, Part II</subTitle></titleInfo><name type="personal"><namePart type="given">Jorge</namePart><namePart type="given">S.</namePart><namePart type="family">Marques</namePart><affiliation>Instituto Superior Técnico & Instituto de Sistemas e Robótica,, 1049-001, Lisboa, Portugal</affiliation><affiliation>E-mail: jsm@isr.ist.utl.pt</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Nicolás</namePart><namePart type="family">Pérez de la Blanca</namePart><affiliation>ETSI Informática y e Telecomunicación, University of Granada, 18071, Granada, Spain</affiliation><affiliation>E-mail: nicolas@decsai.ugr.es</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Pedro</namePart><namePart type="family">Pina</namePart><affiliation>Instituto Superior Técnico, CERENA-Centro de Recursos Naturais e Ambiente, Av. 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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, 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, CA, USA</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Moni</namePart><namePart type="family">Naor</namePart><affiliation>Weizmann Institute of Science, Rehovot, Israel</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Oscar</namePart><namePart type="family">Nierstrasz</namePart><affiliation>University of Bern, Switzerland</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">C.</namePart><namePart type="family">Pandu Rangan</namePart><affiliation>Indian Institute of Technology, Madras, India</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Bernhard</namePart><namePart type="family">Steffen</namePart><affiliation>University of Dortmund, Germany</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Madhu</namePart><namePart type="family">Sudan</namePart><affiliation>Massachusetts Institute of Technology, MA, USA</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart 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