Simultaneous Document Margin Removal and Skew Correction Based on Corner Detection in Projection Profiles
Identifieur interne : 000542 ( Istex/Corpus ); précédent : 000541; suivant : 000543Simultaneous Document Margin Removal and Skew Correction Based on Corner Detection in Projection Profiles
Auteurs : Mehdi Haji ; D. Bui ; Y. SuenSource :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2009.
Abstract
Abstract: Document images obtained from scanners or photocopiers usually have a black margin which interferes with subsequent stages of page segmentation algorithms. Thus, the margins must be removed at the initial stage of a document processing application. This paper presents an algorithm which we have developed for document margin removal based upon the detection of document corners from projection profiles. The algorithm does not make any restrictive assumptions regarding the input document image to be processed. It neither needs all four margins to be present nor needs the corners to be right angles. In the case of the tilted documents, it is able to detect and correct the skew. In our experiments, the algorithm was successfully applied to all document images in our databases of French and Arabic document images which contain more than two hundred images with different types of layouts, noise, and intensity levels.
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DOI: 10.1007/978-3-642-04146-4_109
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Bui</name><affiliation><mods:affiliation>Centre for Pattern Recognition and Machine Intelligence, Concordia University, 1455 de Maisonneuve Blvd. West, H3G 1M8, Montreal, Quebec, Canada</mods:affiliation></affiliation><affiliation><mods:affiliation>E-mail: bui@cs.concordia.ca</mods:affiliation></affiliation></author><author><name sortKey="Suen, Y" sort="Suen, Y" uniqKey="Suen Y" first="Y." last="Suen">Y. 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Suen</name><affiliation><mods:affiliation>Centre for Pattern Recognition and Machine Intelligence, Concordia University, 1455 de Maisonneuve Blvd. West, H3G 1M8, Montreal, Quebec, Canada</mods:affiliation></affiliation><affiliation><mods:affiliation>E-mail: suen@cs.concordia.ca</mods:affiliation></affiliation></author></analytic><monogr></monogr><series><title level="s">Lecture Notes in Computer Science</title><imprint><date>2009</date></imprint><idno type="ISSN">0302-9743</idno><idno type="eISSN">1611-3349</idno><idno type="ISSN">0302-9743</idno></series><idno type="istex">DFD938AAD9B41127DA9E2CDF0DDEA95C9B8A83A3</idno><idno type="DOI">10.1007/978-3-642-04146-4_109</idno><idno type="ChapterID">109</idno><idno type="ChapterID">Chap109</idno></biblStruct></sourceDesc><seriesStmt><idno type="ISSN">0302-9743</idno></seriesStmt></fileDesc><profileDesc><textClass></textClass><langUsage><language ident="en">en</language></langUsage></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Abstract: Document images obtained from scanners or photocopiers usually have a black margin which interferes with subsequent stages of page segmentation algorithms. Thus, the margins must be removed at the initial stage of a document processing application. This paper presents an algorithm which we have developed for document margin removal based upon the detection of document corners from projection profiles. The algorithm does not make any restrictive assumptions regarding the input document image to be processed. It neither needs all four margins to be present nor needs the corners to be right angles. In the case of the tilted documents, it is able to detect and correct the skew. In our experiments, the algorithm was successfully applied to all document images in our databases of French and Arabic document images which contain more than two hundred images with different types of layouts, noise, and intensity levels.</div></front></TEI><istex><corpusName>springer</corpusName><author><json:item><name>M. Mehdi Haji</name><affiliations><json:string>Centre for Pattern Recognition and Machine Intelligence, Concordia University, 1455 de Maisonneuve Blvd. West, H3G 1M8, Montreal, Quebec, Canada</json:string><json:string>E-mail: m_haji@cs.concordia.ca</json:string></affiliations></json:item><json:item><name>Tien D. Bui</name><affiliations><json:string>Centre for Pattern Recognition and Machine Intelligence, Concordia University, 1455 de Maisonneuve Blvd. West, H3G 1M8, Montreal, Quebec, Canada</json:string><json:string>E-mail: bui@cs.concordia.ca</json:string></affiliations></json:item><json:item><name>Ching Y. 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Thus, the margins must be removed at the initial stage of a document processing application. This paper presents an algorithm which we have developed for document margin removal based upon the detection of document corners from projection profiles. The algorithm does not make any restrictive assumptions regarding the input document image to be processed. It neither needs all four margins to be present nor needs the corners to be right angles. In the case of the tilted documents, it is able to detect and correct the skew. 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Science</OrgName><OrgAddress><City>Rehovot</City><Country>Israel</Country></OrgAddress></Affiliation><Affiliation ID="Aff8"><OrgName>University of Bern</OrgName><OrgAddress><City>Bern</City><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><City>Dortmund</City><Country>Germany</Country></OrgAddress></Affiliation><Affiliation ID="Aff11"><OrgName>Massachusetts Institute of Technology</OrgName><OrgAddress><State>MA</State><Country>USA</Country></OrgAddress></Affiliation><Affiliation ID="Aff12"><OrgName>University of California</OrgName><OrgAddress><City>Los Angeles</City><State>CA</State><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>Saarbrücken</City><Country>Germany</Country></OrgAddress></Affiliation></EditorGroup></SeriesHeader><Book Language="En"><BookInfo BookProductType="Proceedings" ContainsESM="No" Language="En" MediaType="eBook" NumberingStyle="Unnumbered" OutputMedium="All" TocLevels="0"><BookID>978-3-642-04146-4</BookID><BookTitle>Image Analysis and Processing – ICIAP 2009</BookTitle><BookSubTitle>15th International Conference Vietri sul Mare, Italy, September 8-11, 2009 Proceedings</BookSubTitle><BookVolumeNumber>5716</BookVolumeNumber><BookSequenceNumber>5716</BookSequenceNumber><BookDOI>10.1007/978-3-642-04146-4</BookDOI><BookTitleID>191289</BookTitleID><BookPrintISBN>978-3-642-04145-7</BookPrintISBN><BookElectronicISBN>978-3-642-04146-4</BookElectronicISBN><BookChapterCount>111</BookChapterCount><BookCopyright><CopyrightHolderName>Springer Berlin Heidelberg</CopyrightHolderName><CopyrightYear>2009</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>Pasquale</GivenName><FamilyName>Foggia</FamilyName></EditorName><Contact><Email>pfoggia@unisa.it</Email></Contact></Editor><Editor AffiliationIDS="Aff17"><EditorName DisplayOrder="Western"><GivenName>Carlo</GivenName><FamilyName>Sansone</FamilyName></EditorName><Contact><Email>carlosan@unina.it</Email></Contact></Editor><Editor AffiliationIDS="Aff18"><EditorName DisplayOrder="Western"><GivenName>Mario</GivenName><FamilyName>Vento</FamilyName></EditorName><Contact><Email>mvento@unisa.it</Email></Contact></Editor><Affiliation ID="Aff16"><OrgDivision>Dipartimento di Ingegneria dell’Informazione e Ingegneria Elettrica</OrgDivision><OrgName>Università di Salerno</OrgName><OrgAddress><Street>Via Ponte Don Melillo, 1</Street><Postcode>84084</Postcode><City>Fisciano (SA)</City><Country>ITALY</Country></OrgAddress></Affiliation><Affiliation ID="Aff17"><OrgDivision>Dipartimento di Informatica e Sistemistica</OrgDivision><OrgName>Università di Napoli Federico II</OrgName><OrgAddress><Street>Via Claudio, 21</Street><Postcode>I-80125</Postcode><City>Napoli</City><Country>Italy</Country></OrgAddress></Affiliation><Affiliation ID="Aff18"><OrgDivision>Dipartimento di Ingegneria dell’Informazione ed Ingegneria Elettrica</OrgDivision><OrgName>Università di Salerno</OrgName><OrgAddress><Street>via P.te Don Melillo</Street><Postcode>I-84084</Postcode><City>Fisciano (SA)</City><Country>Italy</Country></OrgAddress></Affiliation></EditorGroup></BookHeader><Part ID="Part16"><PartInfo TocLevels="0"><PartID>16</PartID><PartSequenceNumber>16</PartSequenceNumber><PartTitle>Image Analysis and Pattern Recognition</PartTitle><PartChapterCount>35</PartChapterCount><PartContext><SeriesID>558</SeriesID><BookTitle>Image Analysis and Processing – ICIAP 2009</BookTitle></PartContext></PartInfo><Chapter ID="Chap109" Language="En"><ChapterInfo ChapterType="OriginalPaper" ContainsESM="No" NumberingStyle="Unnumbered" TocLevels="0"><ChapterID>109</ChapterID><ChapterDOI>10.1007/978-3-642-04146-4_109</ChapterDOI><ChapterSequenceNumber>109</ChapterSequenceNumber><ChapterTitle Language="En">Simultaneous Document Margin Removal and Skew Correction Based on Corner Detection in Projection Profiles</ChapterTitle><ChapterFirstPage>1025</ChapterFirstPage><ChapterLastPage>1034</ChapterLastPage><ChapterCopyright><CopyrightHolderName>Springer-Verlag Berlin Heidelberg</CopyrightHolderName><CopyrightYear>2009</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>16</PartID><BookID>978-3-642-04146-4</BookID><BookTitle>Image Analysis and Processing – ICIAP 2009</BookTitle></ChapterContext></ChapterInfo><ChapterHeader><AuthorGroup><Author AffiliationIDS="Aff19"><AuthorName DisplayOrder="Western"><GivenName>M.</GivenName><GivenName>Mehdi</GivenName><FamilyName>Haji</FamilyName></AuthorName><Contact><Email>m_haji@cs.concordia.ca</Email></Contact></Author><Author AffiliationIDS="Aff19"><AuthorName DisplayOrder="Western"><GivenName>Tien</GivenName><GivenName>D.</GivenName><FamilyName>Bui</FamilyName></AuthorName><Contact><Email>bui@cs.concordia.ca</Email></Contact></Author><Author AffiliationIDS="Aff19"><AuthorName DisplayOrder="Western"><GivenName>Ching</GivenName><GivenName>Y.</GivenName><FamilyName>Suen</FamilyName></AuthorName><Contact><Email>suen@cs.concordia.ca</Email></Contact></Author><Affiliation ID="Aff19"><OrgDivision>Centre for Pattern Recognition and Machine Intelligence</OrgDivision><OrgName>Concordia University</OrgName><OrgAddress><Street>1455 de Maisonneuve Blvd. West</Street><City>Montreal</City><State>Quebec</State><Country>Canada</Country><Postcode>H3G 1M8</Postcode></OrgAddress></Affiliation></AuthorGroup><Abstract ID="Abs1" Language="En"><Heading>Abstract</Heading><Para>Document images obtained from scanners or photocopiers usually have a black margin which interferes with subsequent stages of page segmentation algorithms. Thus, the margins must be removed at the initial stage of a document processing application. This paper presents an algorithm which we have developed for document margin removal based upon the detection of document corners from projection profiles. The algorithm does not make any restrictive assumptions regarding the input document image to be processed. It neither needs all four margins to be present nor needs the corners to be right angles. In the case of the tilted documents, it is able to detect and correct the skew. In our experiments, the algorithm was successfully applied to all document images in our databases of French and Arabic document images which contain more than two hundred images with different types of layouts, noise, and intensity levels.</Para></Abstract><KeywordGroup Language="En"><Heading>Keywords</Heading><Keyword>Document margin</Keyword><Keyword>layout analysis</Keyword><Keyword>projection profile</Keyword><Keyword>corner detection</Keyword><Keyword>skew correction</Keyword></KeywordGroup></ChapterHeader><NoBody></NoBody></Chapter></Part></Book></Series></Publisher></istex:document></istex:metadataXml><mods version="3.6"><titleInfo lang="en"><title>Simultaneous Document Margin Removal and Skew Correction Based on Corner Detection in Projection Profiles</title></titleInfo><titleInfo type="alternative" contentType="CDATA" lang="en"><title>Simultaneous Document Margin Removal and Skew Correction Based on Corner Detection in Projection Profiles</title></titleInfo><name type="personal"><namePart type="given">M.</namePart><namePart type="given">Mehdi</namePart><namePart type="family">Haji</namePart><affiliation>Centre for Pattern Recognition and Machine Intelligence, Concordia University, 1455 de Maisonneuve Blvd. West, H3G 1M8, Montreal, Quebec, Canada</affiliation><affiliation>E-mail: m_haji@cs.concordia.ca</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Tien</namePart><namePart type="given">D.</namePart><namePart type="family">Bui</namePart><affiliation>Centre for Pattern Recognition and Machine Intelligence, Concordia University, 1455 de Maisonneuve Blvd. West, H3G 1M8, Montreal, Quebec, Canada</affiliation><affiliation>E-mail: bui@cs.concordia.ca</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Ching</namePart><namePart type="given">Y.</namePart><namePart type="family">Suen</namePart><affiliation>Centre for Pattern Recognition and Machine Intelligence, Concordia University, 1455 de Maisonneuve Blvd. West, H3G 1M8, Montreal, Quebec, Canada</affiliation><affiliation>E-mail: suen@cs.concordia.ca</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">2009</dateIssued><copyrightDate encoding="w3cdtf">2009</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: Document images obtained from scanners or photocopiers usually have a black margin which interferes with subsequent stages of page segmentation algorithms. Thus, the margins must be removed at the initial stage of a document processing application. This paper presents an algorithm which we have developed for document margin removal based upon the detection of document corners from projection profiles. The algorithm does not make any restrictive assumptions regarding the input document image to be processed. It neither needs all four margins to be present nor needs the corners to be right angles. In the case of the tilted documents, it is able to detect and correct the skew. In our experiments, the algorithm was successfully applied to all document images in our databases of French and Arabic document images which contain more than two hundred images with different types of layouts, noise, and intensity levels.</abstract><relatedItem type="host"><titleInfo><title>Image Analysis and Processing – ICIAP 2009</title><subTitle>15th International Conference Vietri sul Mare, Italy, September 8-11, 2009 Proceedings</subTitle></titleInfo><name type="personal"><namePart type="given">Pasquale</namePart><namePart type="family">Foggia</namePart><affiliation>Dipartimento di Ingegneria dell’Informazione e Ingegneria Elettrica, Università di Salerno, Via Ponte Don Melillo, 1, 84084, Fisciano (SA), ITALY</affiliation><affiliation>E-mail: pfoggia@unisa.it</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Carlo</namePart><namePart type="family">Sansone</namePart><affiliation>Dipartimento di Informatica e Sistemistica, Università di Napoli Federico II, Via Claudio, 21, I-80125, Napoli, Italy</affiliation><affiliation>E-mail: carlosan@unina.it</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Mario</namePart><namePart type="family">Vento</namePart><affiliation>Dipartimento di Ingegneria dell’Informazione ed Ingegneria Elettrica, Università di Salerno, via P.te Don Melillo, I-84084, Fisciano (SA), Italy</affiliation><affiliation>E-mail: mvento@unisa.it</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><genre type="Book Series" displayLabel="Proceedings"></genre><originInfo><copyrightDate encoding="w3cdtf">2009</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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