An Efficient Feature Extraction Method for the Middle-Age Character Recognition
Identifieur interne : 002D65 ( Istex/Corpus ); précédent : 002D64; suivant : 002D66An Efficient Feature Extraction Method for the Middle-Age Character Recognition
Auteurs : Shahpour Alirezaee ; Hasan Aghaeinia ; Karim Faez ; Shayesteh FardSource :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2005.
Abstract
Abstract: In this paper, we introduce an efficient feature extraction method for character recognition. The EA strategy is used to maximize the Fisher linear discriminant function (FLD) over a high order Pseudo-Zernike moment. The argument, which maximizes the FLD criteria, is selected as the proposed weight function. To evaluate the performance of the proposed feature, experimental studies are carried out on the historic Middle-Age Persian characters. The numerical results show 96.8% recognition rate on the selected database with the weighted Pseudo-Zernike feature (with order 10) and 65, 111,16 neurons for the input, hidden, and output layers while this amount for the original Pseudo-Zernike is 93%.
Url:
DOI: 10.1007/11538356_103
Links to Exploration step
ISTEX:3C5F818B58A68F57C6305E5CE058A80FF2C91DF9Le document en format XML
<record><TEI wicri:istexFullTextTei="biblStruct"><teiHeader><fileDesc><titleStmt><title xml:lang="en">An Efficient Feature Extraction Method for the Middle-Age Character Recognition</title><author><name sortKey="Alirezaee, Shahpour" sort="Alirezaee, Shahpour" uniqKey="Alirezaee S" first="Shahpour" last="Alirezaee">Shahpour Alirezaee</name><affiliation><mods:affiliation>Electrical Engineering Department, Amirkabir University of Technology, Hafez Ave., Tehran, Iran</mods:affiliation></affiliation><affiliation><mods:affiliation>Electrical and Computer Engineering Department, Zanjan University, Zanjan, Iran</mods:affiliation></affiliation><affiliation><mods:affiliation>E-mail: Alirezae@mail.znu.ac.ir</mods:affiliation></affiliation></author><author><name sortKey="Aghaeinia, Hasan" sort="Aghaeinia, Hasan" uniqKey="Aghaeinia H" first="Hasan" last="Aghaeinia">Hasan Aghaeinia</name><affiliation><mods:affiliation>Electrical Engineering Department, Amirkabir University of Technology, Hafez Ave., Tehran, Iran</mods:affiliation></affiliation><affiliation><mods:affiliation>E-mail: Aghaeini@Aut.ac.ir</mods:affiliation></affiliation></author><author><name sortKey="Faez, Karim" sort="Faez, Karim" uniqKey="Faez K" first="Karim" last="Faez">Karim Faez</name><affiliation><mods:affiliation>Electrical Engineering Department, Amirkabir University of Technology, Hafez Ave., Tehran, Iran</mods:affiliation></affiliation><affiliation><mods:affiliation>E-mail: Kfaez@Aut.ac.ir</mods:affiliation></affiliation></author><author><name sortKey="Fard, Shayesteh" sort="Fard, Shayesteh" uniqKey="Fard S" first="Shayesteh" last="Fard">Shayesteh Fard</name><affiliation><mods:affiliation>Electrical and Computer Engineering Department, Zanjan University, Zanjan, Iran</mods:affiliation></affiliation><affiliation><mods:affiliation>E-mail: Shayestehfard@mail.znu.ac.ir</mods:affiliation></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">ISTEX</idno><idno type="RBID">ISTEX:3C5F818B58A68F57C6305E5CE058A80FF2C91DF9</idno><date when="2005" year="2005">2005</date><idno type="doi">10.1007/11538356_103</idno><idno type="url">https://api.istex.fr/document/3C5F818B58A68F57C6305E5CE058A80FF2C91DF9/fulltext/pdf</idno><idno type="wicri:Area/Istex/Corpus">002D65</idno></publicationStmt><sourceDesc><biblStruct><analytic><title level="a" type="main" xml:lang="en">An Efficient Feature Extraction Method for the Middle-Age Character Recognition</title><author><name sortKey="Alirezaee, Shahpour" sort="Alirezaee, Shahpour" uniqKey="Alirezaee S" first="Shahpour" last="Alirezaee">Shahpour Alirezaee</name><affiliation><mods:affiliation>Electrical Engineering Department, Amirkabir University of Technology, Hafez Ave., Tehran, Iran</mods:affiliation></affiliation><affiliation><mods:affiliation>Electrical and Computer Engineering Department, Zanjan University, Zanjan, Iran</mods:affiliation></affiliation><affiliation><mods:affiliation>E-mail: Alirezae@mail.znu.ac.ir</mods:affiliation></affiliation></author><author><name sortKey="Aghaeinia, Hasan" sort="Aghaeinia, Hasan" uniqKey="Aghaeinia H" first="Hasan" last="Aghaeinia">Hasan Aghaeinia</name><affiliation><mods:affiliation>Electrical Engineering Department, Amirkabir University of Technology, Hafez Ave., Tehran, Iran</mods:affiliation></affiliation><affiliation><mods:affiliation>E-mail: Aghaeini@Aut.ac.ir</mods:affiliation></affiliation></author><author><name sortKey="Faez, Karim" sort="Faez, Karim" uniqKey="Faez K" first="Karim" last="Faez">Karim Faez</name><affiliation><mods:affiliation>Electrical Engineering Department, Amirkabir University of Technology, Hafez Ave., Tehran, Iran</mods:affiliation></affiliation><affiliation><mods:affiliation>E-mail: Kfaez@Aut.ac.ir</mods:affiliation></affiliation></author><author><name sortKey="Fard, Shayesteh" sort="Fard, Shayesteh" uniqKey="Fard S" first="Shayesteh" last="Fard">Shayesteh Fard</name><affiliation><mods:affiliation>Electrical and Computer Engineering Department, Zanjan University, Zanjan, Iran</mods:affiliation></affiliation><affiliation><mods:affiliation>E-mail: Shayestehfard@mail.znu.ac.ir</mods:affiliation></affiliation></author></analytic><monogr></monogr><series><title level="s">Lecture Notes in Computer Science</title><imprint><date>2005</date></imprint><idno type="ISSN">0302-9743</idno><idno type="eISSN">1611-3349</idno><idno type="ISSN">0302-9743</idno></series><idno type="istex">3C5F818B58A68F57C6305E5CE058A80FF2C91DF9</idno><idno type="DOI">10.1007/11538356_103</idno><idno type="ChapterID">103</idno><idno type="ChapterID">Chap103</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: In this paper, we introduce an efficient feature extraction method for character recognition. The EA strategy is used to maximize the Fisher linear discriminant function (FLD) over a high order Pseudo-Zernike moment. The argument, which maximizes the FLD criteria, is selected as the proposed weight function. To evaluate the performance of the proposed feature, experimental studies are carried out on the historic Middle-Age Persian characters. The numerical results show 96.8% recognition rate on the selected database with the weighted Pseudo-Zernike feature (with order 10) and 65, 111,16 neurons for the input, hidden, and output layers while this amount for the original Pseudo-Zernike is 93%.</div></front></TEI><istex><corpusName>springer</corpusName><author><json:item><name>Shahpour Alirezaee</name><affiliations><json:string>Electrical Engineering Department, Amirkabir University of Technology, Hafez Ave., Tehran, Iran</json:string><json:string>Electrical and Computer Engineering Department, Zanjan University, Zanjan, Iran</json:string><json:string>E-mail: Alirezae@mail.znu.ac.ir</json:string></affiliations></json:item><json:item><name>Hasan Aghaeinia</name><affiliations><json:string>Electrical Engineering Department, Amirkabir University of Technology, Hafez Ave., Tehran, Iran</json:string><json:string>E-mail: Aghaeini@Aut.ac.ir</json:string></affiliations></json:item><json:item><name>Karim Faez</name><affiliations><json:string>Electrical Engineering Department, Amirkabir University of Technology, Hafez Ave., Tehran, Iran</json:string><json:string>E-mail: Kfaez@Aut.ac.ir</json:string></affiliations></json:item><json:item><name>Alireza Shayesteh Fard</name><affiliations><json:string>Electrical and Computer Engineering Department, Zanjan University, Zanjan, Iran</json:string><json:string>E-mail: Shayestehfard@mail.znu.ac.ir</json:string></affiliations></json:item></author><language><json:string>eng</json:string></language><abstract>Abstract: In this paper, we introduce an efficient feature extraction method for character recognition. The EA strategy is used to maximize the Fisher linear discriminant function (FLD) over a high order Pseudo-Zernike moment. The argument, which maximizes the FLD criteria, is selected as the proposed weight function. To evaluate the performance of the proposed feature, experimental studies are carried out on the historic Middle-Age Persian characters. The numerical results show 96.8% recognition rate on the selected database with the weighted Pseudo-Zernike feature (with order 10) and 65, 111,16 neurons for the input, hidden, and output layers while this amount for the original Pseudo-Zernike is 93%.</abstract><qualityIndicators><score>3.417</score><pdfVersion>1.3</pdfVersion><pdfPageSize>430 x 660 pts</pdfPageSize><refBibsNative>false</refBibsNative><keywordCount>0</keywordCount><abstractCharCount>710</abstractCharCount><pdfWordCount>2157</pdfWordCount><pdfCharCount>12051</pdfCharCount><pdfPageCount>9</pdfPageCount><abstractWordCount>105</abstractWordCount></qualityIndicators><title>An Efficient Feature Extraction Method for the Middle-Age Character Recognition</title><genre.original><json:string>OriginalPaper</json:string></genre.original><chapterId><json:string>103</json:string><json:string>Chap103</json:string></chapterId><genre><json:string>conference [eBooks]</json:string></genre><serie><editor><json:item><name>David Hutchison</name><affiliations><json:string>Lancaster University, UK</json:string></affiliations></json:item><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. Kleinberg</name><affiliations><json:string>Cornell University, Ithaca, NY, USA</json:string></affiliations></json:item><json:item><name>Friedemann Mattern</name><affiliations><json:string>ETH Zurich, Switzerland</json:string></affiliations></json:item><json:item><name>John C. Mitchell</name><affiliations><json:string>Stanford University, CA, USA</json:string></affiliations></json:item><json:item><name>Moni Naor</name><affiliations><json:string>Weizmann Institute of Science, Rehovot, Israel</json:string></affiliations></json:item><json:item><name>Oscar Nierstrasz</name><affiliations><json:string>University of Bern, Switzerland</json:string></affiliations></json:item><json:item><name>C. Pandu Rangan</name><affiliations><json:string>Indian Institute of Technology, Madras, India</json:string></affiliations></json:item><json:item><name>Bernhard Steffen</name><affiliations><json:string>University of Dortmund, Germany</json:string></affiliations></json:item><json:item><name>Madhu Sudan</name><affiliations><json:string>Massachusetts Institute of Technology, MA, USA</json:string></affiliations></json:item><json:item><name>Demetri Terzopoulos</name><affiliations><json:string>New York University, NY, USA</json:string></affiliations></json:item><json:item><name>Dough Tygar</name><affiliations><json:string>University of California, Berkeley, CA, USA</json:string></affiliations></json:item><json:item><name>Moshe Y. Vardi</name><affiliations><json:string>Rice University, Houston, TX, USA</json:string></affiliations></json:item><json:item><name>Gerhard Weikum</name><affiliations><json:string>Max-Planck Institute of Computer Science, Saarbruecken, Germany</json:string></affiliations></json:item></editor><issn><json:string>0302-9743</json:string></issn><language><json:string>unknown</json:string></language><eissn><json:string>1611-3349</json:string></eissn><title>Lecture Notes in Computer Science</title><copyrightDate>2005</copyrightDate></serie><host><editor><json:item><name>De-Shuang Huang</name><affiliations><json:string>Intelligent Computing Lab, Institute of Intelligent Machines, Chinese Academy of Sciences, China</json:string><json:string>E-mail: dshuang@iim.ac.cn</json:string></affiliations></json:item><json:item><name>Xiao-Ping Zhang</name><affiliations><json:string>School of Computer & Information Technology, Beijing Jiaotong University, 100044, Beijing, P.R. China</json:string><json:string>E-mail: xiao_ping_zhang@126.com</json:string></affiliations></json:item><json:item><name>Guang-Bin Huang</name><affiliations><json:string>School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore</json:string><json:string>E-mail: egbhuang@ntu.edu.sg</json:string></affiliations></json:item></editor><subject><json:item><value>Computer Science</value></json:item><json:item><value>Computer Science</value></json:item><json:item><value>Computation by Abstract Devices</value></json:item><json:item><value>Algorithm Analysis and Problem Complexity</value></json:item><json:item><value>Artificial Intelligence (incl. Robotics)</value></json:item><json:item><value>Image Processing and Computer Vision</value></json:item><json:item><value>Pattern Recognition</value></json:item><json:item><value>Evolutionary Biology</value></json:item></subject><isbn><json:string>978-3-540-28227-3</json:string></isbn><language><json:string>unknown</json:string></language><eissn><json:string>1611-3349</json:string></eissn><title>Advances in Intelligent Computing</title><genre.original><json:string>Proceedings</json:string></genre.original><bookId><json:string>978-3-540-31907-8</json:string></bookId><volume>3645</volume><pages><last>1006</last><first>998</first></pages><issn><json:string>0302-9743</json:string></issn><genre><json:string>Book Series</json:string></genre><eisbn><json:string>978-3-540-31907-8</json:string></eisbn><copyrightDate>2005</copyrightDate><doi><json:string>10.1007/11538356</json:string></doi></host><publicationDate>2005</publicationDate><copyrightDate>2005</copyrightDate><doi><json:string>10.1007/11538356_103</json:string></doi><id>3C5F818B58A68F57C6305E5CE058A80FF2C91DF9</id><fulltext><json:item><original>true</original><mimetype>application/pdf</mimetype><extension>pdf</extension><uri>https://api.istex.fr/document/3C5F818B58A68F57C6305E5CE058A80FF2C91DF9/fulltext/pdf</uri></json:item><json:item><original>false</original><mimetype>application/zip</mimetype><extension>zip</extension><uri>https://api.istex.fr/document/3C5F818B58A68F57C6305E5CE058A80FF2C91DF9/fulltext/zip</uri></json:item><istex:fulltextTEI uri="https://api.istex.fr/document/3C5F818B58A68F57C6305E5CE058A80FF2C91DF9/fulltext/tei"><teiHeader><fileDesc><titleStmt><title level="a" type="main" xml:lang="en">An Efficient Feature Extraction Method for the Middle-Age Character Recognition</title><respStmt xml:id="ISTEX-API" resp="Références bibliographiques récupérées via GROBID" name="ISTEX-API (INIST-CNRS)"></respStmt></titleStmt><publicationStmt><authority>ISTEX</authority><publisher>Springer Berlin Heidelberg</publisher><pubPlace>Berlin, Heidelberg</pubPlace><availability><p>SPRINGER</p></availability><date>2005</date></publicationStmt><sourceDesc><biblStruct type="inbook"><analytic><title level="a" type="main" xml:lang="en">An Efficient Feature Extraction Method for the Middle-Age Character Recognition</title><author><persName><forename type="first">Shahpour</forename><surname>Alirezaee</surname></persName><email>Alirezae@mail.znu.ac.ir</email><affiliation>Electrical Engineering Department, Amirkabir University of Technology, Hafez Ave., Tehran, Iran</affiliation><affiliation>Electrical and Computer Engineering Department, Zanjan University, Zanjan, Iran</affiliation></author><author><persName><forename type="first">Hasan</forename><surname>Aghaeinia</surname></persName><email>Aghaeini@Aut.ac.ir</email><affiliation>Electrical Engineering Department, Amirkabir University of Technology, Hafez Ave., Tehran, Iran</affiliation></author><author><persName><forename type="first">Karim</forename><surname>Faez</surname></persName><email>Kfaez@Aut.ac.ir</email><affiliation>Electrical Engineering Department, Amirkabir University of Technology, Hafez Ave., Tehran, Iran</affiliation></author><author><persName><forename type="first">Alireza</forename><surname>Fard</surname></persName><email>Shayestehfard@mail.znu.ac.ir</email><affiliation>Electrical and Computer Engineering Department, Zanjan University, Zanjan, Iran</affiliation></author></analytic><monogr><title level="m">Advances in Intelligent Computing</title><title level="m" type="sub">International Conference on Intelligent Computing, ICIC 2005, Hefei, China, August 23-26, 2005, Proceedings, Part II</title><idno type="pISBN">978-3-540-28227-3</idno><idno type="eISBN">978-3-540-31907-8</idno><idno type="pISSN">0302-9743</idno><idno type="eISSN">1611-3349</idno><idno type="DOI">10.1007/11538356</idno><idno type="BookID">978-3-540-31907-8</idno><idno type="BookTitleID">125859</idno><idno type="BookSequenceNumber">3645</idno><idno type="BookVolumeNumber">3645</idno><idno type="BookChapterCount">103</idno><editor><persName><forename type="first">De-Shuang</forename><surname>Huang</surname></persName><email>dshuang@iim.ac.cn</email><affiliation>Intelligent Computing Lab, Institute of Intelligent Machines, Chinese Academy of Sciences, China</affiliation></editor><editor><persName><forename type="first">Xiao-Ping</forename><surname>Zhang</surname></persName><email>xiao_ping_zhang@126.com</email><affiliation>School of Computer & Information Technology, Beijing Jiaotong University, 100044, Beijing, P.R. China</affiliation></editor><editor><persName><forename type="first">Guang-Bin</forename><surname>Huang</surname></persName><email>egbhuang@ntu.edu.sg</email><affiliation>School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore</affiliation></editor><imprint><publisher>Springer Berlin Heidelberg</publisher><pubPlace>Berlin, Heidelberg</pubPlace><date type="published" when="2005"></date><biblScope unit="volume">3645</biblScope><biblScope unit="page" from="998">998</biblScope><biblScope unit="page" to="1006">1006</biblScope></imprint></monogr><series><title level="s">Lecture Notes in Computer Science</title><editor><persName><forename type="first">David</forename><surname>Hutchison</surname></persName><affiliation>Lancaster University, UK</affiliation></editor><editor><persName><forename 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">Moni</forename><surname>Naor</surname></persName><affiliation>Weizmann Institute of Science, Rehovot, Israel</affiliation></editor><editor><persName><forename type="first">Oscar</forename><surname>Nierstrasz</surname></persName><affiliation>University of Bern, 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>University of Dortmund, Germany</affiliation></editor><editor><persName><forename type="first">Madhu</forename><surname>Sudan</surname></persName><affiliation>Massachusetts Institute of Technology, MA, USA</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, 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><editor><persName><forename type="first">Gerhard</forename><surname>Weikum</surname></persName><affiliation>Max-Planck Institute of Computer Science, Saarbruecken, Germany</affiliation></editor><biblScope><date>2005</date></biblScope><idno type="pISSN">0302-9743</idno><idno type="eISSN">1611-3349</idno><idno type="seriesId">558</idno></series><idno type="istex">3C5F818B58A68F57C6305E5CE058A80FF2C91DF9</idno><idno type="DOI">10.1007/11538356_103</idno><idno type="ChapterID">103</idno><idno type="ChapterID">Chap103</idno></biblStruct></sourceDesc></fileDesc><profileDesc><creation><date>2005</date></creation><langUsage><language ident="en">en</language></langUsage><abstract xml:lang="en"><p>Abstract: In this paper, we introduce an efficient feature extraction method for character recognition. The EA strategy is used to maximize the Fisher linear discriminant function (FLD) over a high order Pseudo-Zernike moment. The argument, which maximizes the FLD criteria, is selected as the proposed weight function. To evaluate the performance of the proposed feature, experimental studies are carried out on the historic Middle-Age Persian characters. The numerical results show 96.8% recognition rate on the selected database with the weighted Pseudo-Zernike feature (with order 10) and 65, 111,16 neurons for the input, hidden, and output layers while this amount for the original Pseudo-Zernike is 93%.</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>I16021</label><label>I21017</label><label>I22021</label><label>I2203X</label><label>L21001</label><item><term>Computer Science</term></item><item><term>Computation by Abstract Devices</term></item><item><term>Algorithm Analysis and Problem Complexity</term></item><item><term>Artificial Intelligence (incl. Robotics)</term></item><item><term>Image Processing and Computer Vision</term></item><item><term>Pattern Recognition</term></item><item><term>Evolutionary Biology</term></item></list></keywords></textClass></profileDesc><revisionDesc><change when="2005">Published</change><change xml:id="refBibs-istex" who="#ISTEX-API" when="2016-3-20">References added</change></revisionDesc></teiHeader></istex:fulltextTEI><json:item><original>false</original><mimetype>text/plain</mimetype><extension>txt</extension><uri>https://api.istex.fr/document/3C5F818B58A68F57C6305E5CE058A80FF2C91DF9/fulltext/txt</uri></json:item></fulltext><metadata><istex:metadataXml wicri:clean="Springer, Publisher found" wicri:toSee="no header"><istex:xmlDeclaration>version="1.0" encoding="UTF-8"</istex:xmlDeclaration><istex:docType PUBLIC="-//Springer-Verlag//DTD A++ V2.4//EN" URI="http://devel.springer.de/A++/V2.4/DTD/A++V2.4.dtd" name="istex:docType"></istex:docType><istex:document><Publisher><PublisherInfo><PublisherName>Springer Berlin Heidelberg</PublisherName><PublisherLocation>Berlin, Heidelberg</PublisherLocation></PublisherInfo><Series><SeriesInfo SeriesType="Series" TocLevels="0"><SeriesID>558</SeriesID><SeriesPrintISSN>0302-9743</SeriesPrintISSN><SeriesElectronicISSN>1611-3349</SeriesElectronicISSN><SeriesTitle Language="En">Lecture Notes in Computer Science</SeriesTitle></SeriesInfo><SeriesHeader><EditorGroup><Editor AffiliationIDS="Aff1"><EditorName DisplayOrder="Western"><GivenName>David</GivenName><FamilyName>Hutchison</FamilyName></EditorName></Editor><Editor AffiliationIDS="Aff2"><EditorName DisplayOrder="Western"><GivenName>Takeo</GivenName><FamilyName>Kanade</FamilyName></EditorName></Editor><Editor AffiliationIDS="Aff3"><EditorName DisplayOrder="Western"><GivenName>Josef</GivenName><FamilyName>Kittler</FamilyName></EditorName></Editor><Editor AffiliationIDS="Aff4"><EditorName DisplayOrder="Western"><GivenName>Jon</GivenName><GivenName>M.</GivenName><FamilyName>Kleinberg</FamilyName></EditorName></Editor><Editor AffiliationIDS="Aff5"><EditorName DisplayOrder="Western"><GivenName>Friedemann</GivenName><FamilyName>Mattern</FamilyName></EditorName></Editor><Editor AffiliationIDS="Aff6"><EditorName DisplayOrder="Western"><GivenName>John</GivenName><GivenName>C.</GivenName><FamilyName>Mitchell</FamilyName></EditorName></Editor><Editor AffiliationIDS="Aff7"><EditorName DisplayOrder="Western"><GivenName>Moni</GivenName><FamilyName>Naor</FamilyName></EditorName></Editor><Editor AffiliationIDS="Aff8"><EditorName DisplayOrder="Western"><GivenName>Oscar</GivenName><FamilyName>Nierstrasz</FamilyName></EditorName></Editor><Editor AffiliationIDS="Aff9"><EditorName DisplayOrder="Western"><GivenName>C.</GivenName><FamilyName>Pandu Rangan</FamilyName></EditorName></Editor><Editor AffiliationIDS="Aff10"><EditorName DisplayOrder="Western"><GivenName>Bernhard</GivenName><FamilyName>Steffen</FamilyName></EditorName></Editor><Editor AffiliationIDS="Aff11"><EditorName DisplayOrder="Western"><GivenName>Madhu</GivenName><FamilyName>Sudan</FamilyName></EditorName></Editor><Editor AffiliationIDS="Aff12"><EditorName DisplayOrder="Western"><GivenName>Demetri</GivenName><FamilyName>Terzopoulos</FamilyName></EditorName></Editor><Editor AffiliationIDS="Aff13"><EditorName DisplayOrder="Western"><GivenName>Dough</GivenName><FamilyName>Tygar</FamilyName></EditorName></Editor><Editor AffiliationIDS="Aff14"><EditorName DisplayOrder="Western"><GivenName>Moshe</GivenName><GivenName>Y.</GivenName><FamilyName>Vardi</FamilyName></EditorName></Editor><Editor AffiliationIDS="Aff15"><EditorName DisplayOrder="Western"><GivenName>Gerhard</GivenName><FamilyName>Weikum</FamilyName></EditorName></Editor><Affiliation ID="Aff1"><OrgName>Lancaster University</OrgName><OrgAddress><Country>UK</Country></OrgAddress></Affiliation><Affiliation ID="Aff2"><OrgName>Carnegie Mellon University</OrgName><OrgAddress><City>Pittsburgh</City><State>PA</State><Country>USA</Country></OrgAddress></Affiliation><Affiliation ID="Aff3"><OrgName>University of Surrey</OrgName><OrgAddress><City>Guildford</City><Country>UK</Country></OrgAddress></Affiliation><Affiliation ID="Aff4"><OrgName>Cornell University</OrgName><OrgAddress><City>Ithaca</City><State>NY</State><Country>USA</Country></OrgAddress></Affiliation><Affiliation ID="Aff5"><OrgName>ETH Zurich</OrgName><OrgAddress><Country>Switzerland</Country></OrgAddress></Affiliation><Affiliation ID="Aff6"><OrgName>Stanford University</OrgName><OrgAddress><City>CA</City><Country>USA</Country></OrgAddress></Affiliation><Affiliation ID="Aff7"><OrgName>Weizmann Institute of Science</OrgName><OrgAddress><City>Rehovot</City><Country>Israel</Country></OrgAddress></Affiliation><Affiliation ID="Aff8"><OrgName>University of Bern</OrgName><OrgAddress><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><Country>Germany</Country></OrgAddress></Affiliation><Affiliation ID="Aff11"><OrgName>Massachusetts Institute of Technology</OrgName><OrgAddress><City>MA</City><Country>USA</Country></OrgAddress></Affiliation><Affiliation ID="Aff12"><OrgName>New York University</OrgName><OrgAddress><City>NY</City><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>Saarbruecken</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>978-3-540-31907-8</BookID><BookTitle>Advances in Intelligent Computing</BookTitle><BookSubTitle>International Conference on Intelligent Computing, ICIC 2005, Hefei, China, August 23-26, 2005, Proceedings, Part II</BookSubTitle><BookVolumeNumber>3645</BookVolumeNumber><BookSequenceNumber>3645</BookSequenceNumber><BookDOI>10.1007/11538356</BookDOI><BookTitleID>125859</BookTitleID><BookPrintISBN>978-3-540-28227-3</BookPrintISBN><BookElectronicISBN>978-3-540-31907-8</BookElectronicISBN><BookChapterCount>103</BookChapterCount><BookCopyright><CopyrightHolderName>Springer-Verlag Berlin Heidelberg</CopyrightHolderName><CopyrightYear>2005</CopyrightYear></BookCopyright><BookSubjectGroup><BookSubject Code="I" Type="Primary">Computer Science</BookSubject><BookSubject Code="I16013" Priority="1" Type="Secondary">Computation by Abstract Devices</BookSubject><BookSubject Code="I16021" Priority="2" Type="Secondary">Algorithm Analysis and Problem Complexity</BookSubject><BookSubject Code="I21017" Priority="3" Type="Secondary">Artificial Intelligence (incl. Robotics)</BookSubject><BookSubject Code="I22021" Priority="4" Type="Secondary">Image Processing and Computer Vision</BookSubject><BookSubject Code="I2203X" Priority="5" Type="Secondary">Pattern Recognition</BookSubject><BookSubject Code="L21001" Priority="6" Type="Secondary">Evolutionary Biology</BookSubject><SubjectCollection Code="SUCO11645">Computer Science</SubjectCollection></BookSubjectGroup><BookContext><SeriesID>558</SeriesID></BookContext></BookInfo><BookHeader><EditorGroup><Editor AffiliationIDS="Aff16"><EditorName DisplayOrder="Western"><GivenName>De-Shuang</GivenName><FamilyName>Huang</FamilyName></EditorName><Contact><Email>dshuang@iim.ac.cn</Email></Contact></Editor><Editor AffiliationIDS="Aff17"><EditorName DisplayOrder="Western"><GivenName>Xiao-Ping</GivenName><FamilyName>Zhang</FamilyName></EditorName><Contact><Email>xiao_ping_zhang@126.com</Email></Contact></Editor><Editor AffiliationIDS="Aff18"><EditorName DisplayOrder="Western"><GivenName>Guang-Bin</GivenName><FamilyName>Huang</FamilyName></EditorName><Contact><Email>egbhuang@ntu.edu.sg</Email></Contact></Editor><Affiliation ID="Aff16"><OrgDivision>Intelligent Computing Lab, Institute of Intelligent Machines</OrgDivision><OrgName>Chinese Academy of Sciences</OrgName><OrgAddress><Country>China</Country></OrgAddress></Affiliation><Affiliation ID="Aff17"><OrgDivision>School of Computer & Information Technology</OrgDivision><OrgName>Beijing Jiaotong University</OrgName><OrgAddress><Postcode>100044</Postcode><City>Beijing</City><Country>P.R. China</Country></OrgAddress></Affiliation><Affiliation ID="Aff18"><OrgDivision>School of Electrical and Electronic Engineering</OrgDivision><OrgName>Nanyang Technological University</OrgName><OrgAddress><Country>Singapore</Country></OrgAddress></Affiliation></EditorGroup></BookHeader><Part ID="Part4"><PartInfo TocLevels="0"><PartID>4</PartID><PartSequenceNumber>4</PartSequenceNumber><PartTitle>Other Applications</PartTitle><PartChapterCount>46</PartChapterCount><PartContext><SeriesID>558</SeriesID><BookTitle>Advances in Intelligent Computing</BookTitle></PartContext></PartInfo><Chapter ID="Chap103" Language="En"><ChapterInfo ChapterType="OriginalPaper" ContainsESM="No" NumberingDepth="2" NumberingStyle="ContentOnly" TocLevels="0"><ChapterID>103</ChapterID><ChapterDOI>10.1007/11538356_103</ChapterDOI><ChapterSequenceNumber>103</ChapterSequenceNumber><ChapterTitle Language="En">An Efficient Feature Extraction Method for the Middle-Age Character Recognition</ChapterTitle><ChapterFirstPage>998</ChapterFirstPage><ChapterLastPage>1006</ChapterLastPage><ChapterCopyright><CopyrightHolderName>Springer-Verlag Berlin Heidelberg</CopyrightHolderName><CopyrightYear>2005</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>978-3-540-31907-8</BookID><BookTitle>Advances in Intelligent Computing</BookTitle></ChapterContext></ChapterInfo><ChapterHeader><AuthorGroup><Author AffiliationIDS="Aff19 Aff20"><AuthorName DisplayOrder="Western"><GivenName>Shahpour</GivenName><FamilyName>Alirezaee</FamilyName></AuthorName><Contact><Email>Alirezae@mail.znu.ac.ir</Email></Contact></Author><Author AffiliationIDS="Aff19"><AuthorName DisplayOrder="Western"><GivenName>Hasan</GivenName><FamilyName>Aghaeinia</FamilyName></AuthorName><Contact><Email>Aghaeini@Aut.ac.ir</Email></Contact></Author><Author AffiliationIDS="Aff19"><AuthorName DisplayOrder="Western"><GivenName>Karim</GivenName><FamilyName>Faez</FamilyName></AuthorName><Contact><Email>Kfaez@Aut.ac.ir</Email></Contact></Author><Author AffiliationIDS="Aff20"><AuthorName DisplayOrder="Western"><GivenName>Alireza</GivenName><GivenName>Shayesteh</GivenName><FamilyName>Fard</FamilyName></AuthorName><Contact><Email>Shayestehfard@mail.znu.ac.ir</Email></Contact></Author><Affiliation ID="Aff19"><OrgDivision>Electrical Engineering Department</OrgDivision><OrgName>Amirkabir University of Technology</OrgName><OrgAddress><Street>Hafez Ave.</Street><City>Tehran</City><Country>Iran</Country></OrgAddress></Affiliation><Affiliation ID="Aff20"><OrgDivision>Electrical and Computer Engineering Department</OrgDivision><OrgName>Zanjan University</OrgName><OrgAddress><City>Zanjan</City><Country>Iran</Country></OrgAddress></Affiliation></AuthorGroup><Abstract ID="Abs1" Language="En"><Heading>Abstract</Heading><Para>In this paper, we introduce an efficient feature extraction method for character recognition. The EA strategy is used to maximize the Fisher linear discriminant function (FLD) over a high order Pseudo-Zernike moment. The argument, which maximizes the FLD criteria, is selected as the proposed weight function. To evaluate the performance of the proposed feature, experimental studies are carried out on the historic Middle-Age Persian characters. The numerical results show 96.8% recognition rate on the selected database with the weighted Pseudo-Zernike feature (with order 10) and 65, 111,16 neurons for the input, hidden, and output layers while this amount for the original Pseudo-Zernike is 93%.</Para></Abstract></ChapterHeader><NoBody></NoBody></Chapter></Part></Book></Series></Publisher></istex:document></istex:metadataXml><mods version="3.6"><titleInfo lang="en"><title>An Efficient Feature Extraction Method for the Middle-Age Character Recognition</title></titleInfo><titleInfo type="alternative" contentType="CDATA" lang="en"><title>An Efficient Feature Extraction Method for the Middle-Age Character Recognition</title></titleInfo><name type="personal"><namePart type="given">Shahpour</namePart><namePart type="family">Alirezaee</namePart><affiliation>Electrical Engineering Department, Amirkabir University of Technology, Hafez Ave., Tehran, Iran</affiliation><affiliation>Electrical and Computer Engineering Department, Zanjan University, Zanjan, Iran</affiliation><affiliation>E-mail: Alirezae@mail.znu.ac.ir</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Hasan</namePart><namePart type="family">Aghaeinia</namePart><affiliation>Electrical Engineering Department, Amirkabir University of Technology, Hafez Ave., Tehran, Iran</affiliation><affiliation>E-mail: Aghaeini@Aut.ac.ir</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Karim</namePart><namePart type="family">Faez</namePart><affiliation>Electrical Engineering Department, Amirkabir University of Technology, Hafez Ave., Tehran, Iran</affiliation><affiliation>E-mail: Kfaez@Aut.ac.ir</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Alireza</namePart><namePart type="given">Shayesteh</namePart><namePart type="family">Fard</namePart><affiliation>Electrical and Computer Engineering Department, Zanjan University, Zanjan, Iran</affiliation><affiliation>E-mail: Shayestehfard@mail.znu.ac.ir</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">2005</dateIssued><copyrightDate encoding="w3cdtf">2005</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: In this paper, we introduce an efficient feature extraction method for character recognition. The EA strategy is used to maximize the Fisher linear discriminant function (FLD) over a high order Pseudo-Zernike moment. The argument, which maximizes the FLD criteria, is selected as the proposed weight function. To evaluate the performance of the proposed feature, experimental studies are carried out on the historic Middle-Age Persian characters. The numerical results show 96.8% recognition rate on the selected database with the weighted Pseudo-Zernike feature (with order 10) and 65, 111,16 neurons for the input, hidden, and output layers while this amount for the original Pseudo-Zernike is 93%.</abstract><relatedItem type="host"><titleInfo><title>Advances in Intelligent Computing</title><subTitle>International Conference on Intelligent Computing, ICIC 2005, Hefei, China, August 23-26, 2005, Proceedings, Part II</subTitle></titleInfo><name type="personal"><namePart type="given">De-Shuang</namePart><namePart type="family">Huang</namePart><affiliation>Intelligent Computing Lab, Institute of Intelligent Machines, Chinese Academy of Sciences, China</affiliation><affiliation>E-mail: dshuang@iim.ac.cn</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Xiao-Ping</namePart><namePart type="family">Zhang</namePart><affiliation>School of Computer & Information Technology, Beijing Jiaotong University, 100044, Beijing, P.R. China</affiliation><affiliation>E-mail: xiao_ping_zhang@126.com</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Guang-Bin</namePart><namePart type="family">Huang</namePart><affiliation>School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore</affiliation><affiliation>E-mail: egbhuang@ntu.edu.sg</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><genre type="Book Series" displayLabel="Proceedings"></genre><originInfo><copyrightDate encoding="w3cdtf">2005</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="I16021">Algorithm Analysis and Problem Complexity</topic><topic authority="SpringerSubjectCodes" authorityURI="I21017">Artificial Intelligence (incl. Robotics)</topic><topic authority="SpringerSubjectCodes" authorityURI="I22021">Image Processing and Computer Vision</topic><topic authority="SpringerSubjectCodes" authorityURI="I2203X">Pattern Recognition</topic><topic authority="SpringerSubjectCodes" authorityURI="L21001">Evolutionary Biology</topic></subject><identifier type="DOI">10.1007/11538356</identifier><identifier type="ISBN">978-3-540-28227-3</identifier><identifier type="eISBN">978-3-540-31907-8</identifier><identifier type="ISSN">0302-9743</identifier><identifier type="eISSN">1611-3349</identifier><identifier type="BookTitleID">125859</identifier><identifier type="BookID">978-3-540-31907-8</identifier><identifier type="BookChapterCount">103</identifier><identifier type="BookVolumeNumber">3645</identifier><identifier type="BookSequenceNumber">3645</identifier><identifier type="PartChapterCount">46</identifier><part><date>2005</date><detail type="part"><title>Other Applications</title></detail><detail type="volume"><number>3645</number><caption>vol.</caption></detail><extent unit="pages"><start>998</start><end>1006</end></extent></part><recordInfo><recordOrigin>Springer-Verlag Berlin Heidelberg, 2005</recordOrigin></recordInfo></relatedItem><relatedItem type="series"><titleInfo><title>Lecture Notes in Computer Science</title></titleInfo><name type="personal"><namePart type="given">David</namePart><namePart type="family">Hutchison</namePart><affiliation>Lancaster University, UK</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Takeo</namePart><namePart type="family">Kanade</namePart><affiliation>Carnegie Mellon University, Pittsburgh, PA, USA</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Josef</namePart><namePart type="family">Kittler</namePart><affiliation>University of Surrey, Guildford, UK</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Jon</namePart><namePart type="given">M.</namePart><namePart type="family">Kleinberg</namePart><affiliation>Cornell University, Ithaca, NY, USA</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Friedemann</namePart><namePart type="family">Mattern</namePart><affiliation>ETH Zurich, Switzerland</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">John</namePart><namePart type="given">C.</namePart><namePart type="family">Mitchell</namePart><affiliation>Stanford University, CA, USA</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Moni</namePart><namePart type="family">Naor</namePart><affiliation>Weizmann Institute of Science, Rehovot, Israel</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Oscar</namePart><namePart type="family">Nierstrasz</namePart><affiliation>University of Bern, Switzerland</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">C.</namePart><namePart type="family">Pandu Rangan</namePart><affiliation>Indian Institute of Technology, Madras, India</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Bernhard</namePart><namePart type="family">Steffen</namePart><affiliation>University of Dortmund, Germany</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Madhu</namePart><namePart type="family">Sudan</namePart><affiliation>Massachusetts Institute of Technology, MA, USA</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Demetri</namePart><namePart type="family">Terzopoulos</namePart><affiliation>New York University, NY, USA</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Dough</namePart><namePart type="family">Tygar</namePart><affiliation>University of California, Berkeley, CA, USA</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Moshe</namePart><namePart type="given">Y.</namePart><namePart type="family">Vardi</namePart><affiliation>Rice University, Houston, TX, USA</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Gerhard</namePart><namePart type="family">Weikum</namePart><affiliation>Max-Planck Institute of Computer Science, Saarbruecken, Germany</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><originInfo><copyrightDate encoding="w3cdtf">2005</copyrightDate><issuance>serial</issuance></originInfo><identifier type="ISSN">0302-9743</identifier><identifier type="eISSN">1611-3349</identifier><identifier type="SeriesID">558</identifier><recordInfo><recordOrigin>Springer-Verlag Berlin Heidelberg, 2005</recordOrigin></recordInfo></relatedItem><identifier type="istex">3C5F818B58A68F57C6305E5CE058A80FF2C91DF9</identifier><identifier type="DOI">10.1007/11538356_103</identifier><identifier type="ChapterID">103</identifier><identifier type="ChapterID">Chap103</identifier><accessCondition type="use and reproduction" contentType="copyright">Springer-Verlag Berlin Heidelberg, 2005</accessCondition><recordInfo><recordContentSource>SPRINGER</recordContentSource><recordOrigin>Springer-Verlag Berlin Heidelberg, 2005</recordOrigin></recordInfo></mods></metadata><enrichments><istex:refBibTEI uri="https://api.istex.fr/document/3C5F818B58A68F57C6305E5CE058A80FF2C91DF9/enrichments/refBib"><teiHeader></teiHeader><text><front></front><body></body><back><listBibl><biblStruct xml:id="b0"><analytic><title level="a" type="main">Integration of Structural and Statistical Information for Unconstrained Handwritten Numeral Recognition</title><author><persName><forename type="first">J</forename><surname>Cai</surname></persName></author><author><persName><forename type="first">Z</forename><surname>Liu</surname></persName></author></analytic><monogr><title level="j">IEEE Trans. on Pattern Analysis and Machine Intelligence</title><imprint><biblScope unit="volume">21</biblScope><biblScope unit="issue">3</biblScope><date type="published" when="1999"></date></imprint></monogr></biblStruct><biblStruct xml:id="b1"><analytic><title level="a" type="main">An Overview of Character Recognition Focused on Off- Line Handwriting</title><author><persName><forename type="first">N</forename><surname>Arica</surname></persName></author><author><persName><forename type="first">F</forename><forename type="middle">T</forename><surname>Yarman-Vural</surname></persName></author></analytic><monogr><title level="j">IEEE Trans. on Sys., Man., and Cybernetics</title><imprint><biblScope unit="volume">31</biblScope><biblScope unit="issue">2</biblScope><date type="published" when="2001"></date></imprint></monogr></biblStruct><biblStruct xml:id="b2"><analytic><title level="a" type="main">A Survey of Methods and Strategies in Character Segmentation</title><author><persName><forename type="first">R</forename><forename type="middle">G</forename><surname>Casey</surname></persName></author><author><persName><forename type="first">E</forename><surname>Lecolinet</surname></persName></author></analytic><monogr><title level="j">IEEE Trans. on Pattern Analysis and Machine Intelligence</title><imprint><biblScope unit="volume">18</biblScope><biblScope unit="issue">7</biblScope><date type="published" when="1996"></date></imprint></monogr></biblStruct><biblStruct xml:id="b3"><analytic><title level="a" type="main">Orthogonal moment features for use with parametric and nonparametric classifiers</title><author><persName><forename type="first">R</forename><forename type="middle">R</forename><surname>Baily</surname></persName></author><author><persName><forename type="first">M</forename><surname>Srinath</surname></persName></author></analytic><monogr><title level="j">IEEE Trans. Pattern Analysis and Machine Intelligence</title><imprint><biblScope unit="volume">18</biblScope><biblScope unit="issue">4</biblScope><biblScope unit="page" from="389" to="398"></biblScope><date type="published" when="1996"></date></imprint></monogr></biblStruct><biblStruct xml:id="b4"><analytic><title level="a" type="main">Pattern recognition with moment invariants, a comparative study and new results</title><author><persName><forename type="first">S</forename><forename type="middle">O</forename><surname>Belkasim</surname></persName></author><author><persName><forename type="first">M</forename><surname>Shridhar</surname></persName></author><author><persName><forename type="first">M</forename><surname>Ahmadi</surname></persName></author></analytic><monogr><title level="j">Pattern Recognition</title><imprint><biblScope unit="volume">24</biblScope><biblScope unit="issue">12</biblScope><biblScope unit="page" from="1117" to="1138"></biblScope><date type="published" when="1991"></date></imprint></monogr></biblStruct><biblStruct xml:id="b5"><analytic><title level="a" type="main">An efficient feature extraction method with pseudo-Zernike moment in RBF neural network-based human face recognition system</title><author><persName><forename type="first">J</forename><surname>Haddadnia</surname></persName></author><author><persName><forename type="first">M</forename><surname>Ahmadi</surname></persName></author><author><persName><forename type="first">K</forename><surname>Faez</surname></persName></author></analytic><monogr><title level="j">EURASIP journal on applied signal processing</title><imprint><biblScope unit="volume">9</biblScope><biblScope unit="page" from="890" to="901"></biblScope><date type="published" when="2003"></date></imprint></monogr></biblStruct><biblStruct xml:id="b6"><monogr><title level="m" type="main">Face Detection Based on Kernel Fisher Discriminant Analysis. Automatic Face and Gesture Recognition</title><author><persName><forename type="first">Y</forename><surname>Feng</surname></persName></author><author><persName><forename type="first">P</forename><surname>Shi</surname></persName></author><imprint><date type="published" when="2004"></date><biblScope unit="page" from="381" to="384"></biblScope></imprint></monogr></biblStruct><biblStruct xml:id="b7"><analytic><title level="a" type="main">Parallelism and Evolutionary Algorithms</title><author><persName><forename type="first">E</forename><surname>Alba</surname></persName></author><author><persName><forename type="first">M</forename><surname>Tomassini</surname></persName></author></analytic><monogr><title level="j">IEEE Trans. on Evolutionary Computation</title><imprint><biblScope unit="volume">6</biblScope><biblScope unit="issue">5</biblScope><date type="published" when="2002"></date></imprint></monogr></biblStruct><biblStruct xml:id="b8"><analytic><title></title></analytic><monogr><title level="j">Pahlavy Handwritten Documents. Asian Institute of Shiraz University</title><imprint><date type="published" when="1972"></date></imprint></monogr></biblStruct><biblStruct xml:id="b9"><analytic><title level="a" type="main">Artificial neural networks; A tutorial</title><author><persName><forename type="first">A</forename><forename type="middle">K</forename><surname>Jain</surname></persName></author><author><persName><forename type="first">J</forename><surname>Mao</surname></persName></author><author><persName><forename type="first">K</forename><forename type="middle">M</forename><surname>Mohiuddin</surname></persName></author></analytic><monogr><title level="j">Computer</title><imprint><biblScope unit="volume">29</biblScope><biblScope unit="issue">3</biblScope><biblScope unit="page" from="31" to="44"></biblScope><date type="published" when="1996"></date></imprint></monogr></biblStruct></listBibl></back></text></istex:refBibTEI></enrichments></istex></record>Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Ticri/CIDE/explor/OcrV1/Data/Istex/Corpus
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 002D65 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/Istex/Corpus/biblio.hfd -nk 002D65 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien
|wiki= Ticri/CIDE
|area= OcrV1
|flux= Istex
|étape= Corpus
|type= RBID
|clé= ISTEX:3C5F818B58A68F57C6305E5CE058A80FF2C91DF9
|texte= An Efficient Feature Extraction Method for the Middle-Age Character Recognition
}}
| This area was generated with Dilib version V0.6.32. |  |