Using Genetic Programming for Character Discrimination in Damaged Documents
Identifieur interne : 001630 ( Istex/Corpus ); précédent : 001629; suivant : 001631Using Genetic Programming for Character Discrimination in Damaged Documents
Auteurs : Daniel Rivero ; R. Rabu Al ; Julián Dorado ; Alejandro PazosSource :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2004.
Abstract
Abstract: This paper presents an application of Genetic Programming (GP) to solve one problem in the field of image processing. This problem is the recovery of a deteriorated old document from the damages caused by centuries. This document was affected by many aggresive agents, mainly by the humidity caused by a wrong storage during many years. This makes this problem particularly hard and unaffordable by other image processing techniques. Recent works have shown how Genetic Algorithms is a technique suitable for this task, but in this paper it will be shown how to obtain better results with GP.
Url:
DOI: 10.1007/978-3-540-24653-4_36
Links to Exploration step
ISTEX:72E9F08FEC1350BFAC3E0088526D4BF8CD0EC227Le document en format XML
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This problem is the recovery of a deteriorated old document from the damages caused by centuries. This document was affected by many aggresive agents, mainly by the humidity caused by a wrong storage during many years. This makes this problem particularly hard and unaffordable by other image processing techniques. Recent works have shown how Genetic Algorithms is a technique suitable for this task, but in this paper it will be shown how to obtain better results with GP.</div></front></TEI><istex><corpusName>springer</corpusName><author><json:item><name>Daniel Rivero</name><affiliations><json:string>Fac. Informatica, Univ. A Coruña, Campus Elviña, 15071, A Coruña, Spain</json:string><json:string>E-mail: danielrc@mail2.udc.es</json:string></affiliations></json:item><json:item><name>Juan R. Rabuñal</name><affiliations><json:string>Fac. Informatica, Univ. A Coruña, Campus Elviña, 15071, A Coruña, Spain</json:string><json:string>E-mail: juanra@udc.es</json:string></affiliations></json:item><json:item><name>Julián Dorado</name><affiliations><json:string>Fac. Informatica, Univ. A Coruña, Campus Elviña, 15071, A Coruña, Spain</json:string><json:string>E-mail: julian@udc.es</json:string></affiliations></json:item><json:item><name>Alejandro Pazos</name><affiliations><json:string>Fac. Informatica, Univ. A Coruña, Campus Elviña, 15071, A Coruña, Spain</json:string><json:string>E-mail: apazos@udc.es</json:string></affiliations></json:item></author><language><json:string>eng</json:string></language><abstract>Abstract: This paper presents an application of Genetic Programming (GP) to solve one problem in the field of image processing. This problem is the recovery of a deteriorated old document from the damages caused by centuries. This document was affected by many aggresive agents, mainly by the humidity caused by a wrong storage during many years. This makes this problem particularly hard and unaffordable by other image processing techniques. Recent works have shown how Genetic Algorithms is a technique suitable for this task, but in this paper it will be shown how to obtain better results with GP.</abstract><qualityIndicators><score>5.618</score><pdfVersion>1.6</pdfVersion><pdfPageSize>430 x 660 pts</pdfPageSize><refBibsNative>false</refBibsNative><keywordCount>0</keywordCount><abstractCharCount>602</abstractCharCount><pdfWordCount>2942</pdfWordCount><pdfCharCount>16813</pdfCharCount><pdfPageCount>10</pdfPageCount><abstractWordCount>98</abstractWordCount></qualityIndicators><title>Using Genetic Programming for Character Discrimination in Damaged Documents</title><genre.original><json:string>OriginalPaper</json:string></genre.original><chapterId><json:string>36</json:string><json:string>Chap36</json:string></chapterId><genre><json:string>conference [eBooks]</json:string></genre><serie><editor><json:item><name>Takeo Kanade</name><affiliations><json:string>Carnegie Mellon University, Pittsburgh, PA, USA</json:string></affiliations></json:item><json:item><name>Josef Kittler</name><affiliations><json:string>University of Surrey, Guildford, UK</json:string></affiliations></json:item><json:item><name>Jon M. 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type="first">Takeo</forename><surname>Kanade</surname></persName><affiliation>Carnegie Mellon University, Pittsburgh, PA, USA</affiliation></editor><editor><persName><forename type="first">Josef</forename><surname>Kittler</surname></persName><affiliation>University of Surrey, Guildford, UK</affiliation></editor><editor><persName><forename type="first">Jon</forename><forename type="first">M.</forename><surname>Kleinberg</surname></persName><affiliation>Cornell University, Ithaca, NY, USA</affiliation></editor><editor><persName><forename type="first">Friedemann</forename><surname>Mattern</surname></persName><affiliation>ETH Zurich, Switzerland</affiliation></editor><editor><persName><forename type="first">John</forename><forename type="first">C.</forename><surname>Mitchell</surname></persName><affiliation>Stanford University, CA, USA</affiliation></editor><editor><persName><forename type="first">Oscar</forename><surname>Nierstrasz</surname></persName><affiliation>University of Berne, Switzerland</affiliation></editor><editor><persName><forename type="first">C.</forename><surname>Pandu Rangan</surname></persName><affiliation>Indian Institute of Technology, Madras, India</affiliation></editor><editor><persName><forename type="first">Bernhard</forename><surname>Steffen</surname></persName><affiliation>Dortmund University, Germany</affiliation></editor><editor><persName><forename type="first">Demetri</forename><surname>Terzopoulos</surname></persName><affiliation>New York University, NY, USA</affiliation></editor><editor><persName><forename type="first">Dough</forename><surname>Tygar</surname></persName><affiliation>University of California at Berkeley, CA, USA</affiliation></editor><editor><persName><forename type="first">Moshe</forename><forename type="first">Y.</forename><surname>Vardi</surname></persName><affiliation>Rice University, Houston, TX, USA</affiliation></editor><biblScope><date>2004</date></biblScope><idno type="pISSN">0302-9743</idno><idno type="eISSN">1611-3349</idno><idno type="seriesId">558</idno></series><idno type="istex">72E9F08FEC1350BFAC3E0088526D4BF8CD0EC227</idno><idno type="DOI">10.1007/978-3-540-24653-4_36</idno><idno type="ChapterID">36</idno><idno type="ChapterID">Chap36</idno></biblStruct></sourceDesc></fileDesc><profileDesc><creation><date>2004</date></creation><langUsage><language ident="en">en</language></langUsage><abstract xml:lang="en"><p>Abstract: This paper presents an application of Genetic Programming (GP) to solve one problem in the field of image processing. This problem is the recovery of a deteriorated old document from the damages caused by centuries. This document was affected by many aggresive agents, mainly by the humidity caused by a wrong storage during many years. This makes this problem particularly hard and unaffordable by other image processing techniques. Recent works have shown how Genetic Algorithms is a technique suitable for this task, but in this paper it will be shown how to obtain better results with GP.</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>I16013</label><label>I1200X</label><label>I13022</label><label>I14010</label><label>I22021</label><label>I23036</label><item><term>Computer Science</term></item><item><term>Computation by Abstract Devices</term></item><item><term>Computer Hardware</term></item><item><term>Computer Communication Networks</term></item><item><term>Programming Techniques</term></item><item><term>Image Processing and Computer Vision</term></item><item><term>Computer Appl. in Arts and Humanities</term></item></list></keywords></textClass></profileDesc><revisionDesc><change 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University</OrgName><OrgAddress><Postcode>EH14 8AS</Postcode><City>Edinburgh</City><Country>UK</Country></OrgAddress></Affiliation><Affiliation ID="Aff16"><OrgDivision>Institute of Computer Science</OrgDivision><OrgName>University of Bremen</OrgName><OrgAddress><Postcode>28359</Postcode><City>Bremen</City><Country>Germany</Country></OrgAddress></Affiliation><Affiliation ID="Aff17"><OrgName>Honda Research Institute Europe GmbH</OrgName><OrgAddress><City>Offenbach/Main</City><Country>Germany</Country></OrgAddress></Affiliation><Affiliation ID="Aff18"><OrgDivision>Computing Laboratory</OrgDivision><OrgName>University of Kent</OrgName><OrgAddress><City>Canterbury</City><Country>UK</Country></OrgAddress></Affiliation><Affiliation ID="Aff19"><OrgDivision>CISUC, Department of Informatics Engineering</OrgDivision><OrgName>University of Coimbra, Polo II of the University of Coimbra</OrgName><OrgAddress><Postcode>3030</Postcode><City>Coimbra</City><Country>Portugal</Country></OrgAddress></Affiliation><Affiliation ID="Aff20"><OrgName>ICIS, Radboud University Nijmegen</OrgName><OrgAddress><Country>The Netherlands</Country></OrgAddress></Affiliation><Affiliation ID="Aff21"><OrgName>Johannes Gutenberg University</OrgName><OrgAddress><City>Mainz</City><Country>Germany</Country></OrgAddress></Affiliation><Affiliation ID="Aff22"><OrgDivision>School of Computing Sciences, UEA Norwich</OrgDivision><OrgName>University of East Anglia</OrgName><OrgAddress><Postcode>NR4 7TJ</Postcode><City>Norwich</City><Country>UK</Country></OrgAddress></Affiliation><Affiliation ID="Aff23"><OrgDivision>Dipartimento di Automatica e Informatica</OrgDivision><OrgName>Politecnico di Torino</OrgName><OrgAddress><Country>Italy</Country></OrgAddress></Affiliation></EditorGroup></BookHeader><Part ID="Part4"><PartInfo TocLevels="0"><PartID>4</PartID><PartSequenceNumber>4</PartSequenceNumber><PartTitle>EvoIASP Contributions</PartTitle><PartChapterCount>15</PartChapterCount><PartContext><SeriesID>558</SeriesID><BookTitle>Applications of Evolutionary Computing</BookTitle></PartContext></PartInfo><Chapter ID="Chap36" Language="En"><ChapterInfo ChapterType="OriginalPaper" ContainsESM="No" NumberingDepth="2" NumberingStyle="ContentOnly" TocLevels="0"><ChapterID>36</ChapterID><ChapterDOI>10.1007/978-3-540-24653-4_36</ChapterDOI><ChapterSequenceNumber>36</ChapterSequenceNumber><ChapterTitle Language="En">Using Genetic Programming for Character Discrimination in Damaged Documents</ChapterTitle><ChapterFirstPage>349</ChapterFirstPage><ChapterLastPage>358</ChapterLastPage><ChapterCopyright><CopyrightHolderName>Springer-Verlag Berlin Heidelberg</CopyrightHolderName><CopyrightYear>2004</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>978-3-540-24653-4</BookID><BookTitle>Applications of Evolutionary Computing</BookTitle></ChapterContext></ChapterInfo><ChapterHeader><AuthorGroup><Author AffiliationIDS="Aff24"><AuthorName DisplayOrder="Western"><GivenName>Daniel</GivenName><FamilyName>Rivero</FamilyName></AuthorName><Contact><Email>danielrc@mail2.udc.es</Email></Contact></Author><Author AffiliationIDS="Aff24"><AuthorName DisplayOrder="Western"><GivenName>Juan</GivenName><GivenName>R.</GivenName><FamilyName>Rabuñal</FamilyName></AuthorName><Contact><Email>juanra@udc.es</Email></Contact></Author><Author AffiliationIDS="Aff24"><AuthorName DisplayOrder="Western"><GivenName>Julián</GivenName><FamilyName>Dorado</FamilyName></AuthorName><Contact><Email>julian@udc.es</Email></Contact></Author><Author AffiliationIDS="Aff24"><AuthorName DisplayOrder="Western"><GivenName>Alejandro</GivenName><FamilyName>Pazos</FamilyName></AuthorName><Contact><Email>apazos@udc.es</Email></Contact></Author><Affiliation ID="Aff24"><OrgDivision>Fac. Informatica</OrgDivision><OrgName>Univ. A Coruña</OrgName><OrgAddress><Street>Campus Elviña</Street><Postcode>15071</Postcode><City>A Coruña</City><Country>Spain</Country></OrgAddress></Affiliation></AuthorGroup><Abstract ID="Abs1" Language="En"><Heading>Abstract</Heading><Para>This paper presents an application of Genetic Programming (GP) to solve one problem in the field of image processing. This problem is the recovery of a deteriorated old document from the damages caused by centuries. This document was affected by many aggresive agents, mainly by the humidity caused by a wrong storage during many years. This makes this problem particularly hard and unaffordable by other image processing techniques. Recent works have shown how Genetic Algorithms is a technique suitable for this task, but in this paper it will be shown how to obtain better results with GP.</Para></Abstract></ChapterHeader><NoBody></NoBody></Chapter></Part></Book></Series></Publisher></istex:document></istex:metadataXml><mods version="3.6"><titleInfo lang="en"><title>Using Genetic Programming for Character Discrimination in Damaged Documents</title></titleInfo><titleInfo type="alternative" contentType="CDATA" lang="en"><title>Using Genetic Programming for Character Discrimination in Damaged Documents</title></titleInfo><name type="personal"><namePart type="given">Daniel</namePart><namePart type="family">Rivero</namePart><affiliation>Fac. Informatica, Univ. A Coruña, Campus Elviña, 15071, A Coruña, Spain</affiliation><affiliation>E-mail: danielrc@mail2.udc.es</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Juan</namePart><namePart type="given">R.</namePart><namePart type="family">Rabuñal</namePart><affiliation>Fac. Informatica, Univ. A Coruña, Campus Elviña, 15071, A Coruña, Spain</affiliation><affiliation>E-mail: juanra@udc.es</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Julián</namePart><namePart type="family">Dorado</namePart><affiliation>Fac. Informatica, Univ. A Coruña, Campus Elviña, 15071, A Coruña, Spain</affiliation><affiliation>E-mail: julian@udc.es</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Alejandro</namePart><namePart type="family">Pazos</namePart><affiliation>Fac. Informatica, Univ. A Coruña, Campus Elviña, 15071, A Coruña, Spain</affiliation><affiliation>E-mail: apazos@udc.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">2004</dateIssued><copyrightDate encoding="w3cdtf">2004</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: This paper presents an application of Genetic Programming (GP) to solve one problem in the field of image processing. This problem is the recovery of a deteriorated old document from the damages caused by centuries. This document was affected by many aggresive agents, mainly by the humidity caused by a wrong storage during many years. This makes this problem particularly hard and unaffordable by other image processing techniques. Recent works have shown how Genetic Algorithms is a technique suitable for this task, but in this paper it will be shown how to obtain better results with GP.</abstract><relatedItem type="host"><titleInfo><title>Applications of Evolutionary Computing</title><subTitle>EvoWorkshops 2004: EvoBIO, EvoCOMNET, EvoHOT, EvoISAP, EvoMUSART, and EvoSTOC, Coimbra, Portugal, April 5-7, 2004. 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