Multiple Clues for License Plate Detection and Recognition
Identifieur interne : 001772 ( Istex/Corpus ); précédent : 001771; suivant : 001773Multiple Clues for License Plate Detection and Recognition
Auteurs : Pablo Negri ; Mariano Tepper ; Daniel Acevedo ; Julio Jacobo ; Marta MejailSource :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2010.
Abstract
Abstract: This paper addresses a license plate detection and recognition (LPR) task on still images of trucks. The main contribution of our LPR system is the fusion of different segmentation algorithms used to improve the license plate detection. We also compare the performance of two kinds of classifiers for optical character recognition (OCR): one based on the a contrario framework using the shape contexts as features and the other based on a SVM classifier using the intensity pixel values as features.
Url:
DOI: 10.1007/978-3-642-16687-7_38
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The main contribution of our LPR system is the fusion of different segmentation algorithms used to improve the license plate detection. We also compare the performance of two kinds of classifiers for optical character recognition (OCR): one based on the a contrario framework using the shape contexts as features and the other based on a SVM classifier using the intensity pixel values as features.</div></front></TEI><istex><corpusName>springer</corpusName><author><json:item><name>Pablo Negri</name><affiliations><json:string>PLADEMA, Universidad del Centro de la Provincia de Buenos Aires, Tandil, Argentina</json:string><json:string>E-mail: pnegri@exa.unicen.edu.ar</json:string></affiliations></json:item><json:item><name>Mariano Tepper</name><affiliations><json:string>Departamento de Computación-Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Argentina</json:string></affiliations></json:item><json:item><name>Daniel Acevedo</name><affiliations><json:string>Departamento de Computación-Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Argentina</json:string></affiliations></json:item><json:item><name>Julio Jacobo</name><affiliations><json:string>Departamento de Computación-Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Argentina</json:string></affiliations></json:item><json:item><name>Marta Mejail</name><affiliations><json:string>Departamento de Computación-Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Argentina</json:string></affiliations></json:item></author><language><json:string>eng</json:string></language><abstract>Abstract: This paper addresses a license plate detection and recognition (LPR) task on still images of trucks. 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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" NumberingDepth="2" NumberingStyle="ContentOnly" OutputMedium="All" TocLevels="0"><BookID>978-3-642-16687-7</BookID><BookTitle>Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications</BookTitle><BookSubTitle>15th Iberoamerican Congress on Pattern Recognition, CIARP 2010, Sao Paulo, Brazil, November 8-11, 2010. Proceedings</BookSubTitle><BookVolumeNumber>6419</BookVolumeNumber><BookSequenceNumber>6419</BookSequenceNumber><BookDOI>10.1007/978-3-642-16687-7</BookDOI><BookTitleID>214612</BookTitleID><BookPrintISBN>978-3-642-16686-0</BookPrintISBN><BookElectronicISBN>978-3-642-16687-7</BookElectronicISBN><BookChapterCount>73</BookChapterCount><BookCopyright><CopyrightHolderName>Springer Berlin Heidelberg</CopyrightHolderName><CopyrightYear>2010</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="I22005" Priority="4" Type="Secondary">Computer Imaging, Vision, Pattern Recognition and Graphics</BookSubject><BookSubject Code="I22040" Priority="5" Type="Secondary">Biometrics</BookSubject><BookSubject Code="I16021" Priority="6" 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>Isabelle</GivenName><FamilyName>Bloch</FamilyName></EditorName><Contact><Email>isabelle.bloch@telecom-paristech.fr</Email></Contact></Editor><Editor AffiliationIDS="Aff17"><EditorName DisplayOrder="Western"><GivenName>Roberto</GivenName><GivenName>M.</GivenName><FamilyName>Cesar</FamilyName><Suffix>Jr.</Suffix></EditorName><Contact><Email>roberto.cesar@vision.ime.usp.br</Email></Contact></Editor><Affiliation ID="Aff16"><OrgDivision>Département Traitement du Signal et des Images, CNRS LTCI</OrgDivision><OrgName>Télécom ParisTech</OrgName><OrgAddress><Street>46 rue Barrault</Street><Postcode>75634</Postcode><City>Paris Cedex 13</City><Country>France</Country></OrgAddress></Affiliation><Affiliation ID="Aff17"><OrgDivision>Institute of Mathematics and Statistics - IME, Department of Computer Science</OrgDivision><OrgName>University of São Paulo - USP</OrgName><OrgAddress><Street>Rua do Matão 1010</Street><Postcode>SP CEP 05508-090</Postcode><City>São Paulo</City><Country>Brazil</Country></OrgAddress></Affiliation></EditorGroup></BookHeader><Part ID="Part9"><PartInfo TocLevels="0"><PartID>9</PartID><PartSequenceNumber>9</PartSequenceNumber><PartTitle>Speech, Natural Language, Document</PartTitle><PartChapterCount>7</PartChapterCount><PartContext><SeriesID>558</SeriesID><BookTitle>Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications</BookTitle></PartContext></PartInfo><Chapter ID="Chap38" Language="En"><ChapterInfo ChapterType="OriginalPaper" ContainsESM="No" NumberingDepth="2" NumberingStyle="ContentOnly" TocLevels="0"><ChapterID>38</ChapterID><ChapterDOI>10.1007/978-3-642-16687-7_38</ChapterDOI><ChapterSequenceNumber>38</ChapterSequenceNumber><ChapterTitle Language="En">Multiple Clues for License Plate Detection and Recognition</ChapterTitle><ChapterFirstPage>269</ChapterFirstPage><ChapterLastPage>276</ChapterLastPage><ChapterCopyright><CopyrightHolderName>Springer-Verlag Berlin Heidelberg</CopyrightHolderName><CopyrightYear>2010</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>9</PartID><BookID>978-3-642-16687-7</BookID><BookTitle>Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications</BookTitle></ChapterContext></ChapterInfo><ChapterHeader><AuthorGroup><Author AffiliationIDS="Aff18"><AuthorName DisplayOrder="Western"><GivenName>Pablo</GivenName><FamilyName>Negri</FamilyName></AuthorName><Contact><Email>pnegri@exa.unicen.edu.ar</Email><URL>http://www.pladema.net</URL></Contact></Author><Author AffiliationIDS="Aff19"><AuthorName DisplayOrder="Western"><GivenName>Mariano</GivenName><FamilyName>Tepper</FamilyName></AuthorName><Contact><URL>http://www-2.dc.uba.ar/grupinv/imagenes/</URL></Contact></Author><Author AffiliationIDS="Aff19"><AuthorName DisplayOrder="Western"><GivenName>Daniel</GivenName><FamilyName>Acevedo</FamilyName></AuthorName><Contact><URL>http://www-2.dc.uba.ar/grupinv/imagenes/</URL></Contact></Author><Author AffiliationIDS="Aff19"><AuthorName DisplayOrder="Western"><GivenName>Julio</GivenName><FamilyName>Jacobo</FamilyName></AuthorName><Contact><URL>http://www-2.dc.uba.ar/grupinv/imagenes/</URL></Contact></Author><Author AffiliationIDS="Aff19"><AuthorName DisplayOrder="Western"><GivenName>Marta</GivenName><FamilyName>Mejail</FamilyName></AuthorName><Contact><URL>http://www-2.dc.uba.ar/grupinv/imagenes/</URL></Contact></Author><Affiliation ID="Aff18"><OrgDivision>PLADEMA</OrgDivision><OrgName>Universidad del Centro de la Provincia de Buenos Aires</OrgName><OrgAddress><City>Tandil</City><Country>Argentina</Country></OrgAddress></Affiliation><Affiliation ID="Aff19"><OrgDivision>Departamento de Computación-Facultad de Ciencias Exactas y Naturales</OrgDivision><OrgName>Universidad de Buenos Aires</OrgName><OrgAddress><Country>Argentina</Country></OrgAddress></Affiliation></AuthorGroup><Abstract ID="Abs1" Language="En"><Heading>Abstract</Heading><Para>This paper addresses a license plate detection and recognition (LPR) task on still images of trucks. The main contribution of our LPR system is the fusion of different segmentation algorithms used to improve the license plate detection. We also compare the performance of two kinds of classifiers for optical character recognition (OCR): one based on the <Emphasis Type="Italic">a contrario</Emphasis> framework using the shape contexts as features and the other based on a SVM classifier using the intensity pixel values as features.</Para></Abstract></ChapterHeader><NoBody></NoBody></Chapter></Part></Book></Series></Publisher></istex:document></istex:metadataXml><mods version="3.6"><titleInfo lang="en"><title>Multiple Clues for License Plate Detection and Recognition</title></titleInfo><titleInfo type="alternative" contentType="CDATA" lang="en"><title>Multiple Clues for License Plate Detection and Recognition</title></titleInfo><name type="personal"><namePart type="given">Pablo</namePart><namePart type="family">Negri</namePart><affiliation>PLADEMA, Universidad del Centro de la Provincia de Buenos Aires, Tandil, Argentina</affiliation><affiliation>E-mail: pnegri@exa.unicen.edu.ar</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Mariano</namePart><namePart type="family">Tepper</namePart><affiliation>Departamento de Computación-Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Argentina</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Daniel</namePart><namePart type="family">Acevedo</namePart><affiliation>Departamento de Computación-Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Argentina</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Julio</namePart><namePart type="family">Jacobo</namePart><affiliation>Departamento de Computación-Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Argentina</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Marta</namePart><namePart type="family">Mejail</namePart><affiliation>Departamento de Computación-Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Argentina</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">2010</dateIssued><copyrightDate encoding="w3cdtf">2010</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 addresses a license plate detection and recognition (LPR) task on still images of trucks. The main contribution of our LPR system is the fusion of different segmentation algorithms used to improve the license plate detection. We also compare the performance of two kinds of classifiers for optical character recognition (OCR): one based on the a contrario framework using the shape contexts as features and the other based on a SVM classifier using the intensity pixel values as features.</abstract><relatedItem type="host"><titleInfo><title>Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications</title><subTitle>15th Iberoamerican Congress on Pattern Recognition, CIARP 2010, Sao Paulo, Brazil, November 8-11, 2010. Proceedings</subTitle></titleInfo><name type="personal"><namePart type="given">Isabelle</namePart><namePart type="family">Bloch</namePart><affiliation>Département Traitement du Signal et des Images, CNRS LTCI, Télécom ParisTech, 46 rue Barrault, 75634, Paris Cedex 13, France</affiliation><affiliation>E-mail: isabelle.bloch@telecom-paristech.fr</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Roberto</namePart><namePart type="given">M.</namePart><namePart type="family">Cesar Jr.</namePart><affiliation>Institute of Mathematics and Statistics - IME, Department of Computer Science, University of São Paulo - USP, Rua do Matão 1010, SP CEP 05508-090, São Paulo, Brazil</affiliation><affiliation>E-mail: roberto.cesar@vision.ime.usp.br</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><genre type="Book Series" displayLabel="Proceedings"></genre><originInfo><copyrightDate encoding="w3cdtf">2010</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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uri="https://api.istex.fr/document/156F411976A6EF5B146C31E090F100C5EE5C142B/enrichments/refBib"><teiHeader></teiHeader><text><front></front><body></body><back><listBibl><biblStruct xml:id="b0"><analytic><title level="a" type="main">License plate recognition from still images and video sequences: A survey</title><author><persName><forename type="first">C</forename><surname>Anagnostopoulos</surname></persName></author></analytic><monogr><title level="j">Inteligent Transportation Systems</title><imprint><biblScope unit="volume">9</biblScope><biblScope unit="issue">3</biblScope><biblScope unit="page" from="377" to="391"></biblScope><date type="published" when="2008"></date></imprint></monogr></biblStruct><biblStruct xml:id="b1"><analytic><title level="a" type="main">Shape matching and object recognition using shape contexts</title><author><persName><forename type="first">S</forename><surname>Belongie</surname></persName></author><author><persName><forename type="first">J</forename><surname>Malik</surname></persName></author><author><persName><forename type="first">J</forename><surname>Puzicha</surname></persName></author></analytic><monogr><title level="j">Pattern Analysis and Machine Intelligence</title><imprint><biblScope unit="volume">24</biblScope><biblScope unit="issue">4</biblScope><biblScope unit="page" from="509" to="522"></biblScope><date type="published" when="2002"></date></imprint></monogr></biblStruct><biblStruct xml:id="b2"><monogr><title level="m" type="main">From Gestalt Theory to Image Analysis: A Probabilistic Approach</title><author><persName><forename type="first">A</forename><surname>Desolneux</surname></persName></author><author><persName><forename type="first">L</forename><surname>Moisan</surname></persName></author><author><persName><forename type="first">J</forename><surname>Morel</surname></persName></author><imprint><date type="published" when="2008"></date><publisher>Springer</publisher><pubPlace>Heidelberg</pubPlace></imprint></monogr></biblStruct><biblStruct xml:id="b3"><analytic><title level="a" type="main">Detecting, tracking and recognizing license plates</title><author><persName><forename type="first">M</forename><surname>Donoser</surname></persName></author><author><persName><forename type="first">C</forename><surname>Arth</surname></persName></author><author><persName><forename type="first">H</forename><surname>Bischof</surname></persName></author></analytic><monogr><title level="m">Part II</title><editor>Yagi, Y., Kang, S.B., Kweon, I.S., Zha, H.</editor><meeting><address><addrLine>Heidelberg</addrLine></address></meeting><imprint><publisher>Springer</publisher><date type="published" when="2007"></date><biblScope unit="page" from="447" to="456"></biblScope></imprint></monogr></biblStruct><biblStruct xml:id="b4"><analytic><title level="a" type="main">A new robust algorithm for video text extraction</title><author><persName><forename type="first">E</forename><forename type="middle">K</forename><surname>Wong</surname></persName></author><author><persName><forename type="first">M</forename><surname>Chen</surname></persName></author></analytic><monogr><title level="j">Pattern Recognition</title><imprint><biblScope unit="volume">36</biblScope><biblScope unit="page" from="1397" to="1406"></biblScope><date type="published" when="2003"></date></imprint></monogr></biblStruct><biblStruct xml:id="b5"><monogr><title level="m" type="main">A hybrid license plate extraction method based on edge statistics and morphology</title><author><persName><forename type="first">B</forename><surname>Hongliang</surname></persName></author><author><persName><forename type="first">L</forename><surname>Changping</surname></persName></author><imprint><date type="published" when="2004"></date><biblScope unit="page" from="831" to="834"></biblScope></imprint></monogr></biblStruct><biblStruct xml:id="b6"><monogr><title level="m" type="main">Multiple license plate detection for complex background</title><author><persName><forename type="first">C</forename><forename type="middle">T</forename><surname>Hsieh</surname></persName></author><author><persName><forename type="first">Y</forename><forename type="middle">S</forename><surname>Juan</surname></persName></author><author><persName><forename type="first">K</forename><forename type="middle">M</forename><surname>Hung</surname></persName></author><imprint><date type="published" when="2005"></date><publisher>AINA</publisher><biblScope unit="page" from="389" to="392"></biblScope></imprint></monogr></biblStruct><biblStruct xml:id="b7"><monogr><title level="m" type="main">Learning-based license plate detection using global and local features</title><author><persName><forename type="first">Z</forename><surname>Huaifeng</surname></persName></author><imprint><date type="published" when="2006"></date><biblScope unit="page" from="1102" to="1105"></biblScope></imprint></monogr></biblStruct><biblStruct xml:id="b8"><analytic><title level="a" type="main">Color Texture-Based Object Detection: An Application to License Plate Localization</title><author><persName><forename type="first">K</forename><forename type="middle">I</forename><surname>Kim</surname></persName></author><author><persName><forename type="first">K</forename><surname>Jung</surname></persName></author><author><persName><forename type="first">J</forename><surname>Kim</surname></persName></author></analytic><monogr><title level="m">SVM 2002</title><editor>Lee, S.-W., Verri, A.</editor><meeting><address><addrLine>Heidelberg</addrLine></address></meeting><imprint><publisher>Springer</publisher><date type="published" when="2002"></date><biblScope unit="page" from="321" to="335"></biblScope></imprint></monogr></biblStruct><biblStruct xml:id="b9"><monogr><title level="m" type="main">A Complete System for Vehicle License Plate Recognition</title><author><persName><forename type="first">C</forename><forename type="middle">A B</forename><surname>Mello</surname></persName></author><author><persName><forename type="first">D</forename><forename type="middle">C</forename><surname>Costa</surname></persName></author><imprint><date type="published" when="2009"></date><publisher>WSSIP</publisher><biblScope unit="page" from="1" to="4"></biblScope></imprint></monogr></biblStruct><biblStruct xml:id="b10"><monogr><title level="m" type="main">Sequential minimal optimization: A fast algorithm for training support vecthor machines</title><author><persName><forename type="first">J</forename><forename type="middle">C</forename><surname>Platt</surname></persName></author><imprint><date type="published" when="1998"></date><publisher>Microsoft Research</publisher></imprint></monogr></biblStruct><biblStruct xml:id="b11"><monogr><title level="m" type="main">A real time vehicle's license plate recognition system</title><author><persName><forename type="first">C</forename><forename type="middle">A</forename><surname>Rahman</surname></persName></author><author><persName><forename type="first">W</forename><surname>Badawy</surname></persName></author><author><persName><forename type="first">A</forename><surname>Radmanesh</surname></persName></author><imprint><date type="published" when="2003"></date><publisher>AVSS</publisher><biblScope unit="page" from="163" to="166"></biblScope></imprint></monogr></biblStruct><biblStruct xml:id="b12"><monogr><title level="m" type="main">A decision step for shape context matching</title><author><persName><forename type="first">M</forename><surname>Tepper</surname></persName></author><author><persName><forename type="first">D</forename><surname>Acevedo</surname></persName></author><author><persName><forename type="first">N</forename><surname>Goussies</surname></persName></author><author><persName><forename type="first">J</forename><surname>Jacobo</surname></persName></author><author><persName><forename type="first">M</forename><surname>Mejail</surname></persName></author><imprint><date type="published" when="2009"></date><biblScope unit="page" from="409" to="412"></biblScope></imprint></monogr></biblStruct></listBibl></back></text></istex:refBibTEI></enrichments></istex></record>Pour manipuler ce document sous Unix (Dilib)
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