Active Handwritten Character Recognition Using Genetic Programming
Identifieur interne : 002818 ( Istex/Corpus ); précédent : 002817; suivant : 002819Active Handwritten Character Recognition Using Genetic Programming
Auteurs : Ankur Teredesai ; J. Park ; Venugopal GovindarajuSource :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2001.
Abstract
Abstract: This paper is intended to demonstrate the effective use of genetic programming in handwritten character recognition. When the resources utilized by the classifier increase incrementally and depend on the complexity of classification task, we term such a classifier as active. The design and implementation of active classifiers based on genetic programming principles becomes very simple and efficient. Genetic Programming has helped optimize handwritten character recognition problem in terms of feature set selection. We propose an implementation with dynamism in pre-processing and classification of handwritten digit images. This paradigm will supplement existing methods by providing better performance in terms of accuracy and processing time per image for classification. Different levels of informative detail can be present in image data and our proposed paradigm helps highlight these information rich zones. We compare our performance with passive and active handwritten digit classification schemes that are based on other pattern recognition techniques.
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DOI: 10.1007/3-540-45355-5_30
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Park</name><affiliation><mods:affiliation>Department of Computer Science Center of Excellence for Document Analysis and Recognition, State University of New York at Buffalo, 14250, Buffalo, NY, USA</mods:affiliation></affiliation><affiliation><mods:affiliation>E-mail: jaehwap@cedar.buffalo.edu</mods:affiliation></affiliation></author><author><name sortKey="Govindaraju, Venugopal" sort="Govindaraju, Venugopal" uniqKey="Govindaraju V" first="Venugopal" last="Govindaraju">Venugopal Govindaraju</name><affiliation><mods:affiliation>Department of Computer Science Center of Excellence for Document Analysis and Recognition, State University of New York at Buffalo, 14250, Buffalo, NY, USA</mods:affiliation></affiliation><affiliation><mods:affiliation>E-mail: govind@cedar.buffalo.edu</mods:affiliation></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">ISTEX</idno><idno type="RBID">ISTEX:5B9F57EAE506DD76AC4C6E5F216B7ADBD195E35A</idno><date when="2001" year="2001">2001</date><idno type="doi">10.1007/3-540-45355-5_30</idno><idno type="url">https://api.istex.fr/document/5B9F57EAE506DD76AC4C6E5F216B7ADBD195E35A/fulltext/pdf</idno><idno type="wicri:Area/Istex/Corpus">002818</idno></publicationStmt><sourceDesc><biblStruct><analytic><title level="a" type="main" xml:lang="en">Active Handwritten Character Recognition Using Genetic Programming</title><author><name sortKey="Teredesai, Ankur" sort="Teredesai, Ankur" uniqKey="Teredesai A" first="Ankur" last="Teredesai">Ankur Teredesai</name><affiliation><mods:affiliation>Department of Computer Science Center of Excellence for Document Analysis and Recognition, State University of New York at Buffalo, 14250, Buffalo, NY, USA</mods:affiliation></affiliation><affiliation><mods:affiliation>E-mail: amt6@cedar.buffalo.edu</mods:affiliation></affiliation></author><author><name sortKey="Park, J" sort="Park, J" uniqKey="Park J" first="J." last="Park">J. Park</name><affiliation><mods:affiliation>Department of Computer Science Center of Excellence for Document Analysis and Recognition, State University of New York at Buffalo, 14250, Buffalo, NY, USA</mods:affiliation></affiliation><affiliation><mods:affiliation>E-mail: jaehwap@cedar.buffalo.edu</mods:affiliation></affiliation></author><author><name sortKey="Govindaraju, Venugopal" sort="Govindaraju, Venugopal" uniqKey="Govindaraju V" first="Venugopal" last="Govindaraju">Venugopal Govindaraju</name><affiliation><mods:affiliation>Department of Computer Science Center of Excellence for Document Analysis and Recognition, State University of New York at Buffalo, 14250, Buffalo, NY, USA</mods:affiliation></affiliation><affiliation><mods:affiliation>E-mail: govind@cedar.buffalo.edu</mods:affiliation></affiliation></author></analytic><monogr></monogr><series><title level="s">Lecture Notes in Computer Science</title><imprint><date>2001</date></imprint><idno type="ISSN">0302-9743</idno><idno type="ISSN">0302-9743</idno></series><idno type="istex">5B9F57EAE506DD76AC4C6E5F216B7ADBD195E35A</idno><idno type="DOI">10.1007/3-540-45355-5_30</idno><idno type="ChapterID">30</idno><idno type="ChapterID">Chap30</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: This paper is intended to demonstrate the effective use of genetic programming in handwritten character recognition. When the resources utilized by the classifier increase incrementally and depend on the complexity of classification task, we term such a classifier as active. The design and implementation of active classifiers based on genetic programming principles becomes very simple and efficient. Genetic Programming has helped optimize handwritten character recognition problem in terms of feature set selection. We propose an implementation with dynamism in pre-processing and classification of handwritten digit images. This paradigm will supplement existing methods by providing better performance in terms of accuracy and processing time per image for classification. Different levels of informative detail can be present in image data and our proposed paradigm helps highlight these information rich zones. We compare our performance with passive and active handwritten digit classification schemes that are based on other pattern recognition techniques.</div></front></TEI><istex><corpusName>springer</corpusName><author><json:item><name>Ankur Teredesai</name><affiliations><json:string>Department of Computer Science Center of Excellence for Document Analysis and Recognition, State University of New York at Buffalo, 14250, Buffalo, NY, USA</json:string><json:string>E-mail: amt6@cedar.buffalo.edu</json:string></affiliations></json:item><json:item><name>J. Park</name><affiliations><json:string>Department of Computer Science Center of Excellence for Document Analysis and Recognition, State University of New York at Buffalo, 14250, Buffalo, NY, USA</json:string><json:string>E-mail: jaehwap@cedar.buffalo.edu</json:string></affiliations></json:item><json:item><name>Venugopal Govindaraju</name><affiliations><json:string>Department of Computer Science Center of Excellence for Document Analysis and Recognition, State University of New York at Buffalo, 14250, Buffalo, NY, USA</json:string><json:string>E-mail: govind@cedar.buffalo.edu</json:string></affiliations></json:item></author><language><json:string>eng</json:string></language><abstract>Abstract: This paper is intended to demonstrate the effective use of genetic programming in handwritten character recognition. When the resources utilized by the classifier increase incrementally and depend on the complexity of classification task, we term such a classifier as active. The design and implementation of active classifiers based on genetic programming principles becomes very simple and efficient. Genetic Programming has helped optimize handwritten character recognition problem in terms of feature set selection. We propose an implementation with dynamism in pre-processing and classification of handwritten digit images. This paradigm will supplement existing methods by providing better performance in terms of accuracy and processing time per image for classification. Different levels of informative detail can be present in image data and our proposed paradigm helps highlight these information rich zones. 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effective use of genetic programming in handwritten character recognition. When the resources utilized by the classifier increase incrementally and depend on the complexity of classification task, we term such a classifier as active. The design and implementation of active classifiers based on genetic programming principles becomes very simple and efficient. Genetic Programming has helped optimize handwritten character recognition problem in terms of feature set selection. We propose an implementation with dynamism in pre-processing and classification of handwritten digit images. This paradigm will supplement existing methods by providing better performance in terms of accuracy and processing time per image for classification. Different levels of informative detail can be present in image data and our proposed paradigm helps highlight these information rich zones. 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Heidelberg</CopyrightHolderName><CopyrightYear>2001</CopyrightYear></ChapterCopyright><ChapterHistory><RegistrationDate><Year>2001</Year><Month>4</Month><Day>1</Day></RegistrationDate><OnlineDate><Year>2001</Year><Month>4</Month><Day>2</Day></OnlineDate></ChapterHistory><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>2</PartID><BookID>3-540-45355-5</BookID><BookTitle>Genetic Programming</BookTitle></ChapterContext></ChapterInfo><ChapterHeader><AuthorGroup><Author AffiliationIDS="Aff7"><AuthorName DisplayOrder="Western"><GivenName>Ankur</GivenName><FamilyName>Teredesai</FamilyName></AuthorName><Contact><Email>amt6@cedar.buffalo.edu</Email><URL>http://www.cse.buffalo.edu/amt6</URL></Contact></Author><Author AffiliationIDS="Aff7"><AuthorName DisplayOrder="Western"><GivenName>J.</GivenName><FamilyName>Park</FamilyName></AuthorName><Contact><Email>jaehwap@cedar.buffalo.edu</Email><URL>http://www.cse.buffalo.edu/amt6</URL></Contact></Author><Author AffiliationIDS="Aff7"><AuthorName DisplayOrder="Western"><GivenName>Venugopal</GivenName><FamilyName>Govindaraju</FamilyName></AuthorName><Contact><Email>govind@cedar.buffalo.edu</Email><URL>http://www.cse.buffalo.edu/amt6</URL></Contact></Author><Affiliation ID="Aff7"><OrgDivision>Department of Computer Science Center of Excellence for Document Analysis and Recognition</OrgDivision><OrgName>State University of New York at Buffalo</OrgName><OrgAddress><City>Buffalo</City><State>NY</State><Postcode>14250</Postcode><Country>USA</Country></OrgAddress></Affiliation></AuthorGroup><Abstract ID="Abs1" Language="En"><Heading>Abstract</Heading><Para>This paper is intended to demonstrate the effective use of genetic programming in handwritten character recognition. When the resources utilized by the classifier increase incrementally and depend on the complexity of classification task, we term such a classifier as active. The design and implementation of active classifiers based on genetic programming principles becomes very simple and efficient. Genetic Programming has helped optimize handwritten character recognition problem in terms of feature set selection. We propose an implementation with dynamism in pre-processing and classification of handwritten digit images. This paradigm will supplement existing methods by providing better performance in terms of accuracy and processing time per image for classification. Different levels of informative detail can be present in image data and our proposed paradigm helps highlight these information rich zones. We compare our performance with passive and active handwritten digit classification schemes that are based on other pattern recognition techniques.</Para></Abstract></ChapterHeader><NoBody></NoBody></Chapter></Part></Book></Series></Publisher></istex:document></istex:metadataXml><mods version="3.6"><titleInfo lang="en"><title>Active Handwritten Character Recognition Using Genetic Programming</title></titleInfo><titleInfo type="alternative" contentType="CDATA" lang="en"><title>Active Handwritten Character Recognition Using Genetic Programming</title></titleInfo><name type="personal"><namePart type="given">Ankur</namePart><namePart type="family">Teredesai</namePart><affiliation>Department of Computer Science Center of Excellence for Document Analysis and Recognition, State University of New York at Buffalo, 14250, Buffalo, NY, USA</affiliation><affiliation>E-mail: amt6@cedar.buffalo.edu</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">J.</namePart><namePart type="family">Park</namePart><affiliation>Department of Computer Science Center of Excellence for Document Analysis and Recognition, State University of New York at Buffalo, 14250, Buffalo, NY, USA</affiliation><affiliation>E-mail: jaehwap@cedar.buffalo.edu</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Venugopal</namePart><namePart type="family">Govindaraju</namePart><affiliation>Department of Computer Science Center of Excellence for Document Analysis and Recognition, State University of New York at Buffalo, 14250, Buffalo, NY, USA</affiliation><affiliation>E-mail: govind@cedar.buffalo.edu</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">2001</dateIssued><copyrightDate encoding="w3cdtf">2001</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 is intended to demonstrate the effective use of genetic programming in handwritten character recognition. When the resources utilized by the classifier increase incrementally and depend on the complexity of classification task, we term such a classifier as active. The design and implementation of active classifiers based on genetic programming principles becomes very simple and efficient. Genetic Programming has helped optimize handwritten character recognition problem in terms of feature set selection. We propose an implementation with dynamism in pre-processing and classification of handwritten digit images. This paradigm will supplement existing methods by providing better performance in terms of accuracy and processing time per image for classification. Different levels of informative detail can be present in image data and our proposed paradigm helps highlight these information rich zones. We compare our performance with passive and active handwritten digit classification schemes that are based on other pattern recognition techniques.</abstract><relatedItem type="host"><titleInfo><title>Genetic Programming</title><subTitle>4th European Conference, EuroGP 2001 Lake Como, Italy, April 18–20, 2001 Proceedings</subTitle></titleInfo><name type="personal"><namePart type="given">Julian</namePart><namePart type="family">Miller</namePart><affiliation>School of Computer Science, University of Birmingham, Birmingham</affiliation><affiliation>E-mail: j.miller@cs.bham.ac.uk</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Marco</namePart><namePart type="family">Tomassini</namePart><affiliation>Computer Science Institute, University of Lausanne, Lausanne</affiliation><affiliation>E-mail: marco.tomassini@iismail.unil.ch</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Pier</namePart><namePart type="given">Luca</namePart><namePart type="family">Lanzi</namePart><affiliation>Dipartimento di Elettronica e Informazione, Politecnico di Milano, Italy</affiliation><affiliation>E-mail: lanzi@morgana.elet.polimi.it</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Conor</namePart><namePart type="family">Ryan</namePart><affiliation>Computer Science and Information Systems, University of Limerick, Limerick</affiliation><affiliation>E-mail: Conor.Ryan@ul.ie</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Andrea</namePart><namePart type="given">G.</namePart><namePart type="given">B.</namePart><namePart type="family">Tettamanzi</namePart><affiliation>Dipartimento di Tecnologie dell’Informazione, Università degli Studi di Milano, Italy</affiliation><affiliation>E-mail: andrea.tettamanzi@unimi.it</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">William</namePart><namePart type="given">B.</namePart><namePart type="family">Langdon</namePart><affiliation>Department of Computer Science, University College London, London</affiliation><affiliation>E-mail: W.Langdon@cs.ucl.ac.uk</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><genre type="Book Series" displayLabel="Proceedings"></genre><originInfo><copyrightDate encoding="w3cdtf">2001</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="I16013">Computation by Abstract Devices</topic><topic authority="SpringerSubjectCodes" authorityURI="I14010">Programming Techniques</topic><topic authority="SpringerSubjectCodes" authorityURI="I16021">Algorithm Analysis and Problem Complexity</topic><topic authority="SpringerSubjectCodes" authorityURI="I21017">Artificial Intelligence (incl. Robotics)</topic><topic authority="SpringerSubjectCodes" authorityURI="I2203X">Pattern Recognition</topic><topic authority="SpringerSubjectCodes" authorityURI="L17004">Computer Appl. in Life Sciences</topic></subject><identifier type="DOI">10.1007/3-540-45355-5</identifier><identifier type="ISBN">978-3-540-41899-3</identifier><identifier type="eISBN">978-3-540-45355-0</identifier><identifier type="ISSN">0302-9743</identifier><identifier type="BookTitleID">67009</identifier><identifier type="BookID">3-540-45355-5</identifier><identifier type="BookChapterCount">30</identifier><identifier type="BookVolumeNumber">2038</identifier><identifier type="BookSequenceNumber">2038</identifier><identifier type="PartChapterCount">13</identifier><part><date>2001</date><detail type="part"><title>Posters</title></detail><detail type="volume"><number>2038</number><caption>vol.</caption></detail><extent unit="pages"><start>371</start><end>379</end></extent></part><recordInfo><recordOrigin>Springer-Verlag Berlin Heidelberg, 2001</recordOrigin></recordInfo></relatedItem><relatedItem type="series"><titleInfo><title>Lecture Notes in Computer Science</title></titleInfo><name type="personal"><namePart type="given">G.</namePart><namePart type="family">Goos</namePart><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">J.</namePart><namePart type="family">Hartmanis</namePart><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">J.</namePart><namePart type="family">van Leeuwen</namePart><role><roleTerm type="text">editor</roleTerm></role></name><originInfo><copyrightDate encoding="w3cdtf">2001</copyrightDate><issuance>serial</issuance></originInfo><identifier type="ISSN">0302-9743</identifier><identifier type="SeriesID">558</identifier><recordInfo><recordOrigin>Springer-Verlag Berlin Heidelberg, 2001</recordOrigin></recordInfo></relatedItem><identifier type="istex">5B9F57EAE506DD76AC4C6E5F216B7ADBD195E35A</identifier><identifier type="DOI">10.1007/3-540-45355-5_30</identifier><identifier type="ChapterID">30</identifier><identifier type="ChapterID">Chap30</identifier><accessCondition type="use and reproduction" contentType="copyright">Springer-Verlag Berlin Heidelberg, 2001</accessCondition><recordInfo><recordContentSource>SPRINGER</recordContentSource><recordOrigin>Springer-Verlag Berlin Heidelberg, 2001</recordOrigin></recordInfo></mods></metadata><enrichments><istex:refBibTEI uri="https://api.istex.fr/document/5B9F57EAE506DD76AC4C6E5F216B7ADBD195E35A/enrichments/refBib"><teiHeader></teiHeader><text><front></front><body></body><back><listBibl><biblStruct xml:id="b0"><monogr><title level="m" type="main">Pattern Classificaiton and Scene analysis</title><author><persName><forename type="first">R</forename><surname>Duda</surname></persName></author><author><persName><forename type="first">P</forename><surname>Hart</surname></persName></author><imprint><date type="published" when="1973"></date><publisher>Wiley International</publisher></imprint></monogr></biblStruct><biblStruct xml:id="b1"><analytic><title level="a" type="main">A multiple feature/resolution approach to handprinted digit and character recognition</title><author><persName><forename type="first">J</forename><surname>Favata</surname></persName></author><author><persName><forename type="first">G</forename><surname>Srikantan</surname></persName></author></analytic><monogr><title level="j">International Journal of Imageing Systems and Technology</title><imprint><biblScope unit="volume">7</biblScope><biblScope unit="page" from="304" to="311"></biblScope><date type="published" when="1996"></date></imprint></monogr></biblStruct><biblStruct xml:id="b2"><analytic><title level="a" type="main">A genetic programming framework for two data mining tasks: Classification and generalized rule induction</title><author><persName><forename type="first">A</forename><surname>Frietas</surname></persName></author></analytic><monogr><title level="m">Proc. 2nd Annual Conference</title><meeting>. 2nd Annual Conference</meeting><imprint><publisher>Morgan Kauf- mann</publisher><date type="published" when="1997-07"></date><biblScope unit="page" from="96" to="101"></biblScope></imprint></monogr></biblStruct><biblStruct xml:id="b3"><monogr><title level="m" type="main">Advances in Genetic Programming</title><author><persName><forename type="first">K</forename><surname>Kinnear Jr</surname></persName></author><imprint><date type="published" when="1994"></date><publisher>The MIT Press</publisher></imprint></monogr></biblStruct><biblStruct xml:id="b4"><monogr><title level="m" type="main">Genetic Programming: On the Programming of Computers by Means of Natural Selection</title><author><persName><forename type="first">J</forename><surname>Koza</surname></persName></author><imprint><date type="published" when="1992"></date><publisher>MIT Press</publisher></imprint></monogr></biblStruct><biblStruct xml:id="b5"><analytic><title></title><author><persName><forename type="first">J</forename><surname>Koza</surname></persName></author><author><persName><forename type="first">F</forename><surname>Bennett</surname></persName></author><author><persName><forename type="first">D</forename><surname>Andre</surname></persName></author><author><persName><forename type="first">M</forename><surname>Keane</surname></persName></author></analytic><monogr><title level="j">Genetic Programming III</title><imprint><publisher>Morgan Kaufmann Publishers</publisher><publisher>Morgan Kaufmann Publishers</publisher><date type="published" when="1999"></date></imprint></monogr></biblStruct><biblStruct xml:id="b6"><analytic><title level="a" type="main">Designing neural networks using genetic algorithms</title><author><persName><forename type="first">G</forename><surname>Miller</surname></persName></author><author><persName><forename type="first">P</forename><surname>Todd</surname></persName></author><author><persName><forename type="first">S</forename><surname>Hegde</surname></persName></author></analytic><monogr><title level="m">Proceedings of International Conference on Genetic Algorithms</title><meeting>International Conference on Genetic Algorithms</meeting><imprint><date type="published" when="1989"></date><biblScope unit="page" from="379" to="384"></biblScope></imprint></monogr></biblStruct><biblStruct xml:id="b7"><analytic><title level="a" type="main">Active character recognition using a *-like algorithm</title><author><persName><forename type="first">J</forename><surname>Park</surname></persName></author><author><persName><forename type="first">V</forename><surname>Govindaraju</surname></persName></author></analytic><monogr><title level="m">Proceedings of Computer Vision and Pattern Recognition</title><meeting>Computer Vision and Pattern Recognition</meeting><imprint><date type="published" when="2000"></date></imprint></monogr></biblStruct><biblStruct xml:id="b8"><analytic><title level="a" type="main">Ocr in a hierarchical feature space</title><author><persName><forename type="first">J</forename><surname>Park</surname></persName></author><author><persName><forename type="first">V</forename><surname>Govindaraju</surname></persName></author><author><persName><forename type="first">S</forename><surname>Srihari</surname></persName></author></analytic><monogr><title level="j">IEEE Transactions on Pattern Analysis and Machine Intelligence</title><imprint><biblScope unit="volume">22</biblScope><biblScope unit="issue">4</biblScope><biblScope unit="page" from="400" to="407"></biblScope><date type="published" when="2000-04"></date></imprint></monogr></biblStruct></listBibl></back></text></istex:refBibTEI></enrichments></istex></record>Pour manipuler ce document sous Unix 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