Document Image De-warping Based on Detection of Distorted Text Lines
Identifieur interne : 000533 ( Istex/Corpus ); précédent : 000532; suivant : 000534Document Image De-warping Based on Detection of Distorted Text Lines
Auteurs : Lothar Mischke ; Wolfram LutherSource :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2005.
Abstract
Abstract: Image warping caused by scanning, photocopying or photographing a document is a common problem in the .eld of document processing and understanding. Distortion within the text documents impairs OCRability and thus strongly decreases the usability of the results. This is one of the major obstacles for automating the process of digitizing printed documents. In this paper we present a novel algorithm which is able to correct document image warping based on the detection of distorted text lines. The proposed solution is used in a recent project of digitizing old, poor quality manuscripts. The algorithm is compared to other published approaches. Experiments with various document samples and the resulting improvements of the text recognition rate achieved by a commercial OCR engine are also presented.
Url:
DOI: 10.1007/11553595_131
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ISTEX:093C2B6E6B98D0B3A0122B40D31AFB8A26AD5ED1Le document en format XML
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Distortion within the text documents impairs OCRability and thus strongly decreases the usability of the results. This is one of the major obstacles for automating the process of digitizing printed documents. In this paper we present a novel algorithm which is able to correct document image warping based on the detection of distorted text lines. The proposed solution is used in a recent project of digitizing old, poor quality manuscripts. The algorithm is compared to other published approaches. 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Distortion within the text documents impairs OCRability and thus strongly decreases the usability of the results. This is one of the major obstacles for automating the process of digitizing printed documents. In this paper we present a novel algorithm which is able to correct document image warping based on the detection of distorted text lines. The proposed solution is used in a recent project of digitizing old, poor quality manuscripts. The algorithm is compared to other published approaches. 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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>978-3-540-31866-8</BookID><BookTitle>Image Analysis and Processing – ICIAP 2005</BookTitle><BookSubTitle>13th International Conference, Cagliari, Italy, September 6-8, 2005. Proceedings</BookSubTitle><BookVolumeNumber>3617</BookVolumeNumber><BookSequenceNumber>3617</BookSequenceNumber><BookDOI>10.1007/11553595</BookDOI><BookTitleID>126473</BookTitleID><BookPrintISBN>978-3-540-28869-5</BookPrintISBN><BookElectronicISBN>978-3-540-31866-8</BookElectronicISBN><BookChapterCount>148</BookChapterCount><BookCopyright><CopyrightHolderName>Springer-Verlag Berlin Heidelberg</CopyrightHolderName><CopyrightYear>2005</CopyrightYear></BookCopyright><BookSubjectGroup><BookSubject Code="I" Type="Primary">Computer Science</BookSubject><BookSubject Code="I2203X" Priority="1" Type="Secondary">Pattern Recognition</BookSubject><BookSubject Code="I22021" Priority="2" Type="Secondary">Image Processing and Computer Vision</BookSubject><BookSubject Code="I21017" Priority="3" Type="Secondary">Artificial Intelligence (incl. Robotics)</BookSubject><BookSubject Code="I22013" Priority="4" Type="Secondary">Computer Graphics</BookSubject><BookSubject Code="I16021" Priority="5" 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>Fabio</GivenName><FamilyName>Roli</FamilyName></EditorName><Contact><Email>roli@diee.unica.it</Email></Contact></Editor><Editor AffiliationIDS="Aff17"><EditorName DisplayOrder="Western"><GivenName>Sergio</GivenName><FamilyName>Vitulano</FamilyName></EditorName><Contact><Email>vitulano@pacs.unica.it</Email></Contact></Editor><Affiliation ID="Aff16"><OrgDivision>Department of Electrical and Electronic Engineering, Piazza d’Armi</OrgDivision><OrgName>University of Cagliari</OrgName><OrgAddress><Postcode>09123</Postcode><City>Cagliari</City><Country>Italy</Country></OrgAddress></Affiliation><Affiliation ID="Aff17"><OrgName>Università di Cagliari</OrgName><OrgAddress><Country> </Country></OrgAddress></Affiliation></EditorGroup></BookHeader><Part ID="Part19"><PartInfo TocLevels="0"><PartID>19</PartID><PartSequenceNumber>19</PartSequenceNumber><PartTitle>Applications</PartTitle><PartChapterCount>19</PartChapterCount><PartContext><SeriesID>558</SeriesID><BookTitle>Image Analysis and Processing – ICIAP 2005</BookTitle></PartContext></PartInfo><Chapter ID="Chap131" Language="En"><ChapterInfo ChapterType="OriginalPaper" ContainsESM="No" NumberingDepth="2" NumberingStyle="ContentOnly" TocLevels="0"><ChapterID>131</ChapterID><ChapterDOI>10.1007/11553595_131</ChapterDOI><ChapterSequenceNumber>131</ChapterSequenceNumber><ChapterTitle Language="En">Document Image De-warping Based on Detection of Distorted Text Lines</ChapterTitle><ChapterFirstPage>1068</ChapterFirstPage><ChapterLastPage>1075</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>19</PartID><BookID>978-3-540-31866-8</BookID><BookTitle>Image Analysis and Processing – ICIAP 2005</BookTitle></ChapterContext></ChapterInfo><ChapterHeader><AuthorGroup><Author AffiliationIDS="Aff18"><AuthorName DisplayOrder="Western"><GivenName>Lothar</GivenName><FamilyName>Mischke</FamilyName></AuthorName><Contact><Email>lothar.mischke@esb-hamm.de</Email></Contact></Author><Author AffiliationIDS="Aff19"><AuthorName DisplayOrder="Western"><GivenName>Wolfram</GivenName><FamilyName>Luther</FamilyName></AuthorName><Contact><Email>luther@informatik.uni-duisburg.de</Email></Contact></Author><Affiliation ID="Aff18"><OrgName>Eduard Spranger Vocational School</OrgName><OrgAddress><Postcode>D-59067</Postcode><City>Hamm</City><Street>Vorheider Weg 8</Street><Country>Germany</Country></OrgAddress></Affiliation><Affiliation ID="Aff19"><OrgDivision>Institute of Computer Science and Interactive Systems</OrgDivision><OrgName>University of Duisburg–Essen</OrgName><OrgAddress><Postcode>D-47048</Postcode><City>Duisburg</City><Street>Lotharstr. 65</Street><Country>Germany</Country></OrgAddress></Affiliation></AuthorGroup><Abstract ID="Abs1" Language="En"><Heading>Abstract</Heading><Para>Image warping caused by scanning, photocopying or photographing a document is a common problem in the .eld of document processing and understanding. Distortion within the text documents impairs OCRability and thus strongly decreases the usability of the results. This is one of the major obstacles for automating the process of digitizing printed documents.</Para><Para>In this paper we present a novel algorithm which is able to correct document image warping based on the detection of distorted text lines. The proposed solution is used in a recent project of digitizing old, poor quality manuscripts. The algorithm is compared to other published approaches. Experiments with various document samples and the resulting improvements of the text recognition rate achieved by a commercial OCR engine are also presented.</Para></Abstract></ChapterHeader><NoBody></NoBody></Chapter></Part></Book></Series></Publisher></istex:document></istex:metadataXml><mods version="3.6"><titleInfo lang="en"><title>Document Image De-warping Based on Detection of Distorted Text Lines</title></titleInfo><titleInfo type="alternative" contentType="CDATA" lang="en"><title>Document Image De-warping Based on Detection of Distorted Text Lines</title></titleInfo><name type="personal"><namePart type="given">Lothar</namePart><namePart type="family">Mischke</namePart><affiliation>Eduard Spranger Vocational School, Vorheider Weg 8, D-59067, Hamm, Germany</affiliation><affiliation>E-mail: lothar.mischke@esb-hamm.de</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Wolfram</namePart><namePart type="family">Luther</namePart><affiliation>Institute of Computer Science and Interactive Systems, University of Duisburg–Essen, Lotharstr. 65, D-47048, Duisburg, Germany</affiliation><affiliation>E-mail: luther@informatik.uni-duisburg.de</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: Image warping caused by scanning, photocopying or photographing a document is a common problem in the .eld of document processing and understanding. Distortion within the text documents impairs OCRability and thus strongly decreases the usability of the results. This is one of the major obstacles for automating the process of digitizing printed documents. In this paper we present a novel algorithm which is able to correct document image warping based on the detection of distorted text lines. The proposed solution is used in a recent project of digitizing old, poor quality manuscripts. The algorithm is compared to other published approaches. Experiments with various document samples and the resulting improvements of the text recognition rate achieved by a commercial OCR engine are also presented.</abstract><relatedItem type="host"><titleInfo><title>Image Analysis and Processing – ICIAP 2005</title><subTitle>13th International Conference, Cagliari, Italy, September 6-8, 2005. Proceedings</subTitle></titleInfo><name type="personal"><namePart type="given">Fabio</namePart><namePart type="family">Roli</namePart><affiliation>Department of Electrical and Electronic Engineering, Piazza d’Armi, University of Cagliari, 09123, Cagliari, Italy</affiliation><affiliation>E-mail: roli@diee.unica.it</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Sergio</namePart><namePart type="family">Vitulano</namePart><affiliation>Università di Cagliari</affiliation><affiliation>E-mail: vitulano@pacs.unica.it</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><genre type="Book Series" displayLabel="Proceedings"></genre><originInfo><copyrightDate encoding="w3cdtf">2005</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="I2203X">Pattern Recognition</topic><topic authority="SpringerSubjectCodes" authorityURI="I22021">Image Processing and Computer Vision</topic><topic authority="SpringerSubjectCodes" authorityURI="I21017">Artificial Intelligence (incl. 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