An MLP using Hough transform based fuzzy feature extraction for Bengali script recognition
Identifieur interne : 000451 ( Istex/Corpus ); précédent : 000450; suivant : 000452An MLP using Hough transform based fuzzy feature extraction for Bengali script recognition
Auteurs : Shamik Sural ; P. K. DasSource :
- Pattern Recognition Letters [ 0167-8655 ] ; 1998.
Abstract
We define fuzzy sets on the Hough transform of character pattern pixels from which additional fuzzy sets are synthesized using t-norms. A multilayer perceptron trained with a number of linguistic set memberships derived from these t-norms can recognize characters of Bengali scripts by their similarities to different fuzzy pattern classes.
Url:
DOI: 10.1016/S0167-8655(99)00041-0
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Das</name><affiliation><mods:affiliation>Department of Computer Science and Engineering, Jadavpur University, Calcutta 700 032, India</mods:affiliation></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">ISTEX</idno><idno type="RBID">ISTEX:CD92E0DF6436A73CE8D0B53DCE40BF17DF20C983</idno><date when="1999" year="1999">1999</date><idno type="doi">10.1016/S0167-8655(99)00041-0</idno><idno type="url">https://api.istex.fr/document/CD92E0DF6436A73CE8D0B53DCE40BF17DF20C983/fulltext/pdf</idno><idno type="wicri:Area/Istex/Corpus">000451</idno></publicationStmt><sourceDesc><biblStruct><analytic><title level="a">An MLP using Hough transform based fuzzy feature extraction for Bengali script recognition</title><author><name sortKey="Sural, Shamik" sort="Sural, Shamik" uniqKey="Sural S" first="Shamik" last="Sural">Shamik Sural</name><affiliation><mods:affiliation>E-mail: shamik_s@hotmail.com</mods:affiliation></affiliation><affiliation><mods:affiliation>CMC Limited, 28 Camac Street, Calcutta 700 016, India</mods:affiliation></affiliation></author><author><name sortKey="Das, P K" sort="Das, P K" uniqKey="Das P" first="P. K." last="Das">P. K. Das</name><affiliation><mods:affiliation>Department of Computer Science and Engineering, Jadavpur University, Calcutta 700 032, India</mods:affiliation></affiliation></author></analytic><monogr></monogr><series><title level="j">Pattern Recognition Letters</title><title level="j" type="abbrev">PATREC</title><idno type="ISSN">0167-8655</idno><imprint><publisher>ELSEVIER</publisher><date type="published" when="1998">1998</date><biblScope unit="volume">20</biblScope><biblScope unit="issue">8</biblScope><biblScope unit="page" from="771">771</biblScope><biblScope unit="page" to="782">782</biblScope></imprint><idno type="ISSN">0167-8655</idno></series><idno type="istex">CD92E0DF6436A73CE8D0B53DCE40BF17DF20C983</idno><idno type="DOI">10.1016/S0167-8655(99)00041-0</idno><idno type="PII">S0167-8655(99)00041-0</idno></biblStruct></sourceDesc><seriesStmt><idno type="ISSN">0167-8655</idno></seriesStmt></fileDesc><profileDesc><textClass></textClass><langUsage><language ident="en">en</language></langUsage></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">We define fuzzy sets on the Hough transform of character pattern pixels from which additional fuzzy sets are synthesized using t-norms. A multilayer perceptron trained with a number of linguistic set memberships derived from these t-norms can recognize characters of Bengali scripts by their similarities to different fuzzy pattern classes.</div></front></TEI><istex><corpusName>elsevier</corpusName><author><json:item><name>Shamik Sural</name><affiliations><json:string>E-mail: shamik_s@hotmail.com</json:string><json:string>CMC Limited, 28 Camac Street, Calcutta 700 016, India</json:string></affiliations></json:item><json:item><name>P.K. Das</name><affiliations><json:string>Department of Computer Science and Engineering, Jadavpur University, Calcutta 700 032, India</json:string></affiliations></json:item></author><subject><json:item><lang><json:string>eng</json:string></lang><value>Bengali script recognition</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>Hough transform</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>Fuzzy sets</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>Multilayer perceptron</value></json:item></subject><language><json:string>eng</json:string></language><abstract>We define fuzzy sets on the Hough transform of character pattern pixels from which additional fuzzy sets are synthesized using t-norms. A multilayer perceptron trained with a number of linguistic set memberships derived from these t-norms can recognize characters of Bengali scripts by their similarities to different fuzzy pattern classes.</abstract><qualityIndicators><score>5.6</score><pdfVersion>1.2</pdfVersion><pdfPageSize>544 x 743 pts</pdfPageSize><refBibsNative>true</refBibsNative><keywordCount>4</keywordCount><abstractCharCount>340</abstractCharCount><pdfWordCount>5305</pdfWordCount><pdfCharCount>30223</pdfCharCount><pdfPageCount>12</pdfPageCount><abstractWordCount>50</abstractWordCount></qualityIndicators><title>An MLP using Hough transform based fuzzy feature extraction for Bengali script recognition</title><pii><json:string>S0167-8655(99)00041-0</json:string></pii><genre><json:string>brief communication</json:string></genre><host><volume>20</volume><pii><json:string>S0167-8655(00)X0057-8</json:string></pii><pages><last>782</last><first>771</first></pages><issn><json:string>0167-8655</json:string></issn><issue>8</issue><genre><json:string>Journal</json:string></genre><language><json:string>unknown</json:string></language><title>Pattern Recognition Letters</title><publicationDate>1999</publicationDate></host><categories><wos><json:string>COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE</json:string></wos></categories><publicationDate>1998</publicationDate><copyrightDate>1999</copyrightDate><doi><json:string>10.1016/S0167-8655(99)00041-0</json:string></doi><id>CD92E0DF6436A73CE8D0B53DCE40BF17DF20C983</id><fulltext><json:item><original>true</original><mimetype>application/pdf</mimetype><extension>pdf</extension><uri>https://api.istex.fr/document/CD92E0DF6436A73CE8D0B53DCE40BF17DF20C983/fulltext/pdf</uri></json:item><json:item><original>true</original><mimetype>text/plain</mimetype><extension>txt</extension><uri>https://api.istex.fr/document/CD92E0DF6436A73CE8D0B53DCE40BF17DF20C983/fulltext/txt</uri></json:item><json:item><original>false</original><mimetype>application/zip</mimetype><extension>zip</extension><uri>https://api.istex.fr/document/CD92E0DF6436A73CE8D0B53DCE40BF17DF20C983/fulltext/zip</uri></json:item><istex:fulltextTEI uri="https://api.istex.fr/document/CD92E0DF6436A73CE8D0B53DCE40BF17DF20C983/fulltext/tei"><teiHeader><fileDesc><titleStmt><title level="a">An MLP using Hough transform based fuzzy feature extraction for Bengali script recognition</title></titleStmt><publicationStmt><authority>ISTEX</authority><publisher>ELSEVIER</publisher><availability><p>ELSEVIER</p></availability><date>1999</date></publicationStmt><notesStmt><note type="content">Fig. 1: Different text zones in a line of scanned Bengli script.</note><note type="content">Fig. 2: Segmented image of a part of a scanned Bengali newspaper.</note><note type="content">Fig. 4: Characters of Bengali script recognized by different stages of MLP.</note><note type="content">Fig. 3: Recognition of a character with modifiers from a Bengali script.</note><note type="content">Fig. 5: (a) Two-state Markov chain model of a noisy document image. (b) Spatial propagation of noise burst in a document image.</note><note type="content">Fig. 6: (a) Variation of character recognition error in Bengali scripts with average burst length λ. (b) Variation of character recognition error in Bengali scripts with error density ratio Δ.</note><note type="content">Table 1: Membership functions of fuzzy sets defined on Hough transform accumulator cells. X and Y denote the height and the width of each character pattern</note><note type="content">Table 2: Some of the fuzzy features extracted by Hough transform from eight scanned Bengali characters</note><note type="content">Table 3: Performance of the fuzzy OCR system in terms of speed and accuracy of recognition</note></notesStmt><sourceDesc><biblStruct type="inbook"><analytic><title level="a">An MLP using Hough transform based fuzzy feature extraction for Bengali script recognition</title><author><persName><forename type="first">Shamik</forename><surname>Sural</surname></persName><email>shamik_s@hotmail.com</email><note type="biography">Now with NIIT Limited, 6B Pretoria Street, Calcutta 700 071, India.</note><note type="correspondence"><p>Corresponding author. Address for correspondence: 151 Kanungo Park, Garia, Calcutta 700 084, India. Tel.: +91-033-4621867</p></note><affiliation>Now with NIIT Limited, 6B Pretoria Street, Calcutta 700 071, India.</affiliation><affiliation>CMC Limited, 28 Camac Street, Calcutta 700 016, India</affiliation></author><author><persName><forename type="first">P.K.</forename><surname>Das</surname></persName><affiliation>Department of Computer Science and Engineering, Jadavpur University, Calcutta 700 032, India</affiliation></author></analytic><monogr><title level="j">Pattern Recognition Letters</title><title level="j" type="abbrev">PATREC</title><idno type="pISSN">0167-8655</idno><idno type="PII">S0167-8655(00)X0057-8</idno><imprint><publisher>ELSEVIER</publisher><date type="published" when="1998"></date><biblScope unit="volume">20</biblScope><biblScope unit="issue">8</biblScope><biblScope unit="page" from="771">771</biblScope><biblScope unit="page" to="782">782</biblScope></imprint></monogr><idno type="istex">CD92E0DF6436A73CE8D0B53DCE40BF17DF20C983</idno><idno type="DOI">10.1016/S0167-8655(99)00041-0</idno><idno type="PII">S0167-8655(99)00041-0</idno></biblStruct></sourceDesc></fileDesc><profileDesc><creation><date>1999</date></creation><langUsage><language ident="en">en</language></langUsage><abstract xml:lang="en"><p>We define fuzzy sets on the Hough transform of character pattern pixels from which additional fuzzy sets are synthesized using t-norms. A multilayer perceptron trained with a number of linguistic set memberships derived from these t-norms can recognize characters of Bengali scripts by their similarities to different fuzzy pattern classes.</p></abstract><textClass><keywords scheme="keyword"><list><head>Keywords</head><item><term>Bengali script recognition</term></item><item><term>Hough transform</term></item><item><term>Fuzzy sets</term></item><item><term>Multilayer perceptron</term></item></list></keywords></textClass></profileDesc><revisionDesc><change when="1998-05-06">Received</change><change when="1999-04-13">Modified</change><change when="1998">Published</change></revisionDesc></teiHeader></istex:fulltextTEI></fulltext><metadata><istex:metadataXml wicri:clean="Elsevier, elements deleted: ce:floats; body; tail"><istex:xmlDeclaration>version="1.0" encoding="utf-8"</istex:xmlDeclaration><istex:docType PUBLIC="-//ES//DTD journal article DTD version 4.5.2//EN//XML" URI="art452.dtd" name="istex:docType"><istex:entity SYSTEM="gr1" NDATA="IMAGE" name="gr1"></istex:entity><istex:entity SYSTEM="gr2" NDATA="IMAGE" name="gr2"></istex:entity><istex:entity SYSTEM="gr4" NDATA="IMAGE" name="gr4"></istex:entity><istex:entity SYSTEM="gr3" NDATA="IMAGE" name="gr3"></istex:entity><istex:entity SYSTEM="fx9" NDATA="IMAGE" name="fx9"></istex:entity><istex:entity SYSTEM="fx2" NDATA="IMAGE" name="fx2"></istex:entity><istex:entity SYSTEM="fx3" NDATA="IMAGE" name="fx3"></istex:entity><istex:entity SYSTEM="fx4" NDATA="IMAGE" name="fx4"></istex:entity><istex:entity SYSTEM="fx5" NDATA="IMAGE" name="fx5"></istex:entity><istex:entity SYSTEM="fx6" NDATA="IMAGE" name="fx6"></istex:entity><istex:entity SYSTEM="fx7" NDATA="IMAGE" name="fx7"></istex:entity><istex:entity SYSTEM="fx8" NDATA="IMAGE" name="fx8"></istex:entity><istex:entity SYSTEM="gr5" NDATA="IMAGE" name="gr5"></istex:entity><istex:entity SYSTEM="gr6" NDATA="IMAGE" name="gr6"></istex:entity></istex:docType><istex:document><converted-article version="4.5.2" docsubtype="sco"><item-info><jid>PATREC</jid><aid>2462</aid><ce:pii>S0167-8655(99)00041-0</ce:pii><ce:doi>10.1016/S0167-8655(99)00041-0</ce:doi><ce:copyright type="full-transfer" year="1999">Elsevier Science B.V.</ce:copyright></item-info><head><ce:title>An MLP using Hough transform based fuzzy feature extraction for Bengali script recognition</ce:title><ce:author-group><ce:author><ce:given-name>Shamik</ce:given-name><ce:surname>Sural</ce:surname><ce:cross-ref refid="FN1"><ce:sup>1</ce:sup></ce:cross-ref><ce:cross-ref refid="AFF1"><ce:sup>a</ce:sup></ce:cross-ref><ce:cross-ref refid="CORR1">*</ce:cross-ref><ce:e-address>shamik_s@hotmail.com</ce:e-address></ce:author><ce:author><ce:given-name>P.K.</ce:given-name><ce:surname>Das</ce:surname><ce:cross-ref refid="AFF2"><ce:sup>b</ce:sup></ce:cross-ref></ce:author><ce:affiliation id="AFF1"><ce:label>a</ce:label><ce:textfn>CMC Limited, 28 Camac Street, Calcutta 700 016, India</ce:textfn></ce:affiliation><ce:affiliation id="AFF2"><ce:label>b</ce:label><ce:textfn>Department of Computer Science and Engineering, Jadavpur University, Calcutta 700 032, India</ce:textfn></ce:affiliation><ce:correspondence id="CORR1"><ce:label>*</ce:label><ce:text>Corresponding author. Address for correspondence: 151 Kanungo Park, Garia, Calcutta 700 084, India. Tel.: +91-033-4621867</ce:text></ce:correspondence><ce:footnote id="FN1"><ce:label>1</ce:label><ce:note-para>Now with NIIT Limited, 6B Pretoria Street, Calcutta 700 071, India.</ce:note-para></ce:footnote></ce:author-group><ce:date-received day="6" month="5" year="1998"></ce:date-received><ce:date-revised day="13" month="4" year="1999"></ce:date-revised><ce:abstract><ce:section-title>Abstract</ce:section-title><ce:abstract-sec><ce:simple-para>We define fuzzy sets on the Hough transform of character pattern pixels from which additional fuzzy sets are synthesized using t-norms. A multilayer perceptron trained with a number of linguistic set memberships derived from these t-norms can recognize characters of Bengali scripts by their similarities to different fuzzy pattern classes.</ce:simple-para></ce:abstract-sec></ce:abstract><ce:keywords class="keyword"><ce:section-title>Keywords</ce:section-title><ce:keyword><ce:text>Bengali script recognition</ce:text></ce:keyword><ce:keyword><ce:text>Hough transform</ce:text></ce:keyword><ce:keyword><ce:text>Fuzzy sets</ce:text></ce:keyword><ce:keyword><ce:text>Multilayer perceptron</ce:text></ce:keyword></ce:keywords></head></converted-article></istex:document></istex:metadataXml><mods version="3.6"><titleInfo><title>An MLP using Hough transform based fuzzy feature extraction for Bengali script recognition</title></titleInfo><titleInfo type="alternative" contentType="CDATA"><title>An MLP using Hough transform based fuzzy feature extraction for Bengali script recognition</title></titleInfo><name type="personal"><namePart type="given">Shamik</namePart><namePart type="family">Sural</namePart><affiliation>E-mail: shamik_s@hotmail.com</affiliation><affiliation>CMC Limited, 28 Camac Street, Calcutta 700 016, India</affiliation><description>Corresponding author. Address for correspondence: 151 Kanungo Park, Garia, Calcutta 700 084, India. Tel.: +91-033-4621867</description><description>Now with NIIT Limited, 6B Pretoria Street, Calcutta 700 071, India.</description><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">P.K.</namePart><namePart type="family">Das</namePart><affiliation>Department of Computer Science and Engineering, Jadavpur University, Calcutta 700 032, India</affiliation><role><roleTerm type="text">author</roleTerm></role></name><typeOfResource>text</typeOfResource><genre type="brief communication" displayLabel="Short communication"></genre><originInfo><publisher>ELSEVIER</publisher><dateIssued encoding="w3cdtf">1998</dateIssued><dateCaptured encoding="w3cdtf">1998-05-06</dateCaptured><dateModified encoding="w3cdtf">1999-04-13</dateModified><copyrightDate encoding="w3cdtf">1999</copyrightDate></originInfo><language><languageTerm type="code" authority="iso639-2b">eng</languageTerm><languageTerm type="code" authority="rfc3066">en</languageTerm></language><physicalDescription><internetMediaType>text/html</internetMediaType></physicalDescription><abstract lang="en">We define fuzzy sets on the Hough transform of character pattern pixels from which additional fuzzy sets are synthesized using t-norms. A multilayer perceptron trained with a number of linguistic set memberships derived from these t-norms can recognize characters of Bengali scripts by their similarities to different fuzzy pattern classes.</abstract><note type="content">Fig. 1: Different text zones in a line of scanned Bengli script.</note><note type="content">Fig. 2: Segmented image of a part of a scanned Bengali newspaper.</note><note type="content">Fig. 4: Characters of Bengali script recognized by different stages of MLP.</note><note type="content">Fig. 3: Recognition of a character with modifiers from a Bengali script.</note><note type="content">Fig. 5: (a) Two-state Markov chain model of a noisy document image. (b) Spatial propagation of noise burst in a document image.</note><note type="content">Fig. 6: (a) Variation of character recognition error in Bengali scripts with average burst length λ. (b) Variation of character recognition error in Bengali scripts with error density ratio Δ.</note><note type="content">Table 1: Membership functions of fuzzy sets defined on Hough transform accumulator cells. X and Y denote the height and the width of each character pattern</note><note type="content">Table 2: Some of the fuzzy features extracted by Hough transform from eight scanned Bengali characters</note><note type="content">Table 3: Performance of the fuzzy OCR system in terms of speed and accuracy of recognition</note><subject><genre>Keywords</genre><topic>Bengali script recognition</topic><topic>Hough transform</topic><topic>Fuzzy sets</topic><topic>Multilayer perceptron</topic></subject><relatedItem type="host"><titleInfo><title>Pattern Recognition Letters</title></titleInfo><titleInfo type="abbreviated"><title>PATREC</title></titleInfo><genre type="Journal">journal</genre><originInfo><dateIssued encoding="w3cdtf">199908</dateIssued></originInfo><identifier type="ISSN">0167-8655</identifier><identifier type="PII">S0167-8655(00)X0057-8</identifier><part><date>199908</date><detail type="volume"><number>20</number><caption>vol.</caption></detail><detail type="issue"><number>8</number><caption>no.</caption></detail><extent unit="issue pages"><start>761</start><end>864</end></extent><extent unit="pages"><start>771</start><end>782</end></extent></part></relatedItem><identifier type="istex">CD92E0DF6436A73CE8D0B53DCE40BF17DF20C983</identifier><identifier type="DOI">10.1016/S0167-8655(99)00041-0</identifier><identifier type="PII">S0167-8655(99)00041-0</identifier><accessCondition type="use and reproduction" contentType="">© 1999Elsevier Science B.V.</accessCondition><recordInfo><recordContentSource>ELSEVIER</recordContentSource><recordOrigin>Elsevier Science B.V., ©1999</recordOrigin></recordInfo></mods></metadata><enrichments><istex:catWosTEI uri="https://api.istex.fr/document/CD92E0DF6436A73CE8D0B53DCE40BF17DF20C983/enrichments/catWos"><teiHeader><profileDesc><textClass><classCode scheme="WOS">COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE</classCode></textClass></profileDesc></teiHeader></istex:catWosTEI></enrichments><serie></serie></istex></record>Pour manipuler ce document sous Unix (Dilib)
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