Word Spotting in Archive Documents Using Shape Contexts
Identifieur interne : 000D65 ( Istex/Corpus ); précédent : 000D64; suivant : 000D66Word Spotting in Archive Documents Using Shape Contexts
Auteurs : Josep Llad S ; Partha Pratim-Roy ; A. Rodríguez ; Gemma SánchezSource :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2007.
Abstract
Abstract: The analysis of historical document images is not only interesting for the preservation of historical heritage but also for the extraction of semantic knowledge. In this paper we present a word spotting approach to find keyword images in digital archives. Detected words allow to construct metadata on document contents for indexing and retrieval purposes. Instead of using OCR based approches that would require accurate segmentation and high image quality, we propose a shape recognition method based on the well-known shape context descriptor. Our method is proven to be robust under hightly distorted and noisy document images, a usual drawback in old document analysis. It has been used in a real application scenario, the Collection of Border Records of the Girona Archive. In particular, spotted keywords are used to extract knowledge on personal data of people referred in the documents.
Url:
DOI: 10.1007/978-3-540-72849-8_37
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ISTEX:FF85E3EE6D12FFCF4B0250EF487B2F57FBECADA9Le document en format XML
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In this paper we present a word spotting approach to find keyword images in digital archives. Detected words allow to construct metadata on document contents for indexing and retrieval purposes. Instead of using OCR based approches that would require accurate segmentation and high image quality, we propose a shape recognition method based on the well-known shape context descriptor. Our method is proven to be robust under hightly distorted and noisy document images, a usual drawback in old document analysis. It has been used in a real application scenario, the Collection of Border Records of the Girona Archive. 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Robotics)</BookSubject><BookSubject Code="I22013" Priority="5" Type="Secondary">Computer Graphics</BookSubject><SubjectCollection Code="SUCO11645">Computer Science</SubjectCollection></BookSubjectGroup></BookInfo><BookHeader><EditorGroup><Editor><EditorName DisplayOrder="Western"><GivenName>Joan</GivenName><FamilyName>Martí</FamilyName></EditorName><Contact><Email>joanm@eia.udg.es</Email></Contact></Editor><Editor><EditorName DisplayOrder="Western"><GivenName>José</GivenName><GivenName>Miguel</GivenName><FamilyName>Benedí</FamilyName></EditorName><Contact><Email>jbenedi@dsic.upv.es</Email></Contact></Editor><Editor><EditorName DisplayOrder="Western"><GivenName>Ana</GivenName><GivenName>Maria</GivenName><FamilyName>Mendonça</FamilyName></EditorName><Contact><Email>amendon@fe.up.pt</Email></Contact></Editor><Editor><EditorName DisplayOrder="Western"><GivenName>Joan</GivenName><FamilyName>Serrat</FamilyName></EditorName><Contact><Email>joan.serrat@cvc.uab.es</Email></Contact></Editor></EditorGroup></BookHeader><Chapter ID="Chap37" Language="En"><ChapterInfo ChapterType="OriginalPaper" ContainsESM="No" NumberingStyle="Unnumbered" TocLevels="0"><ChapterID>37</ChapterID><ChapterDOI>10.1007/978-3-540-72849-8_37</ChapterDOI><ChapterSequenceNumber>37</ChapterSequenceNumber><ChapterTitle Language="En">Word Spotting in Archive Documents Using Shape Contexts</ChapterTitle><ChapterFirstPage>290</ChapterFirstPage><ChapterLastPage>297</ChapterLastPage><ChapterCopyright><CopyrightHolderName>Springer Berlin Heidelberg</CopyrightHolderName><CopyrightYear>2007</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></ChapterInfo><ChapterHeader><AuthorGroup><Author AffiliationIDS="Aff1"><AuthorName DisplayOrder="Western"><GivenName>Josep</GivenName><FamilyName>Lladós</FamilyName></AuthorName><Contact><Email>josep@cvc.uab.es</Email></Contact></Author><Author AffiliationIDS="Aff1"><AuthorName DisplayOrder="Western"><GivenName>Partha</GivenName><FamilyName>Pratim-Roy</FamilyName></AuthorName><Contact><Email>partha@cvc.uab.es</Email></Contact></Author><Author AffiliationIDS="Aff1"><AuthorName DisplayOrder="Western"><GivenName>José</GivenName><GivenName>A.</GivenName><FamilyName>Rodríguez</FamilyName></AuthorName><Contact><Email>jrodriguez@cvc.uab.es</Email></Contact></Author><Author AffiliationIDS="Aff1"><AuthorName DisplayOrder="Western"><GivenName>Gemma</GivenName><FamilyName>Sánchez</FamilyName></AuthorName><Contact><Email>gemma@cvc.uab.es</Email></Contact></Author><Affiliation ID="Aff1"><OrgName>Computer Vision Center - Computer Science Department, Universitat Autònoma de Barcelona, 08193 Bellaterra (Barcelona)</OrgName><OrgAddress><Country>Spain</Country></OrgAddress></Affiliation></AuthorGroup><Abstract ID="Abs1" Language="En"><Heading>Abstract</Heading><Para>The analysis of historical document images is not only interesting for the preservation of historical heritage but also for the extraction of semantic knowledge. In this paper we present a word spotting approach to find keyword images in digital archives. Detected words allow to construct metadata on document contents for indexing and retrieval purposes. Instead of using OCR based approches that would require accurate segmentation and high image quality, we propose a shape recognition method based on the well-known shape context descriptor. Our method is proven to be robust under hightly distorted and noisy document images, a usual drawback in old document analysis. It has been used in a real application scenario, the Collection of Border Records of the Girona Archive. In particular, spotted keywords are used to extract knowledge on personal data of people referred in the documents.</Para></Abstract><ArticleNote Type="Misc"><SimplePara>This work has been partially supported by the Spanish project TIN2006-15694-C02-02 and the <Emphasis Type="Italic">Subdirecció General d’Arxius de la Generalitat de Catalunya.</Emphasis></SimplePara></ArticleNote></ChapterHeader><NoBody></NoBody></Chapter></Book></Series></Publisher></istex:document></istex:metadataXml><mods version="3.6"><titleInfo lang="en"><title>Word Spotting in Archive Documents Using Shape Contexts</title></titleInfo><titleInfo type="alternative" contentType="CDATA" lang="en"><title>Word Spotting in Archive Documents Using Shape Contexts</title></titleInfo><name type="personal"><namePart type="given">Josep</namePart><namePart type="family">Lladós</namePart><affiliation>Computer Vision Center - Computer Science Department, Universitat Autònoma de Barcelona, 08193 Bellaterra (Barcelona), Spain</affiliation><affiliation>E-mail: josep@cvc.uab.es</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Partha</namePart><namePart type="family">Pratim-Roy</namePart><affiliation>Computer Vision Center - Computer Science Department, Universitat Autònoma de Barcelona, 08193 Bellaterra (Barcelona), Spain</affiliation><affiliation>E-mail: partha@cvc.uab.es</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">José</namePart><namePart type="given">A.</namePart><namePart type="family">Rodríguez</namePart><affiliation>Computer Vision Center - Computer Science Department, Universitat Autònoma de Barcelona, 08193 Bellaterra (Barcelona), Spain</affiliation><affiliation>E-mail: jrodriguez@cvc.uab.es</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Gemma</namePart><namePart type="family">Sánchez</namePart><affiliation>Computer Vision Center - Computer Science Department, Universitat Autònoma de Barcelona, 08193 Bellaterra (Barcelona), Spain</affiliation><affiliation>E-mail: gemma@cvc.uab.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">2007</dateIssued><copyrightDate encoding="w3cdtf">2007</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: The analysis of historical document images is not only interesting for the preservation of historical heritage but also for the extraction of semantic knowledge. In this paper we present a word spotting approach to find keyword images in digital archives. Detected words allow to construct metadata on document contents for indexing and retrieval purposes. Instead of using OCR based approches that would require accurate segmentation and high image quality, we propose a shape recognition method based on the well-known shape context descriptor. Our method is proven to be robust under hightly distorted and noisy document images, a usual drawback in old document analysis. It has been used in a real application scenario, the Collection of Border Records of the Girona Archive. 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