OcrV1, Main, Merge, bibRecord, 001867

Identification of font styles and typefaces in printed Korean documents

Identifieur interne : 001867 ( Main/Merge ); précédent : 001866; suivant : 001868

Identification of font styles and typefaces in printed Korean documents

Auteurs : C. B. Jeong [Corée du Sud] ; H. K. Kwag [Corée du Sud] ; S. H. Kim [Corée du Sud] ; J. S. Kim [Corée du Sud] ; S. C. Park [Corée du Sud]

Source :

Lecture notes in computer science [ 0302-9743 ] ; 2003.

RBID : Pascal:04-0194678

Descripteurs français

Pascal (Inist)
- Reconnaissance caractère, Reconnaissance optique caractère, Caractère imprimé, Document imprimé, Coréen, Mot clé.

English descriptors

KwdEn :
- Character recognition, Keyword, Korean, Optical character recognition, Printed character, Printed document.

Abstract

This paper proposes a system for the extraction of typographical attributes, such as font style and typeface, that can be used to improve the performance of OCR and keyword spotting technologies on printed Korean document images. Three typographical features have been devised and experimented with 7,200 Korean word images. The individual accuracies for font style identification and typeface identification are 97.2% and 99.1%, respectively.

Links toward previous steps (curation, corpus...)

to stream PascalFrancis, to step Corpus: 000555
to stream PascalFrancis, to step Curation: 000235
to stream PascalFrancis, to step Checkpoint: 000553

Links to Exploration step

Pascal:04-0194678

Le document en format XML

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<s2>BukGu, Gwangju 500-757</s2>
<s3>KOR</s3>
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<country>Corée du Sud</country>
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<s2>BukGu, Gwangju 500-757</s2>
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<author><name sortKey="Kim, S H" sort="Kim, S H" uniqKey="Kim S" first="S. H." last="Kim">S. H. Kim</name>
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<author><name sortKey="Park, S C" sort="Park, S C" uniqKey="Park S" first="S. C." last="Park">S. C. Park</name>
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<date when="2003">2003</date>
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<sourceDesc><biblStruct><analytic><title xml:lang="en" level="a">Identification of font styles and typefaces in printed Korean documents</title>
<author><name sortKey="Jeong, C B" sort="Jeong, C B" uniqKey="Jeong C" first="C. B." last="Jeong">C. B. Jeong</name>
<affiliation wicri:level="1"><inist:fA14 i1="01"><s1>Department of Computer Science, Chonnam National University, 300 YongBong-dong</s1>
<s2>BukGu, Gwangju 500-757</s2>
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<country>Corée du Sud</country>
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<author><name sortKey="Kwag, H K" sort="Kwag, H K" uniqKey="Kwag H" first="H. K." last="Kwag">H. K. Kwag</name>
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<author><name sortKey="Kim, S H" sort="Kim, S H" uniqKey="Kim S" first="S. H." last="Kim">S. H. Kim</name>
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<author><name sortKey="Kim, J S" sort="Kim, J S" uniqKey="Kim J" first="J. S." last="Kim">J. S. Kim</name>
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<author><name sortKey="Park, S C" sort="Park, S C" uniqKey="Park S" first="S. C." last="Park">S. C. Park</name>
<affiliation wicri:level="1"><inist:fA14 i1="01"><s1>Department of Computer Science, Chonnam National University, 300 YongBong-dong</s1>
<s2>BukGu, Gwangju 500-757</s2>
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<country>Corée du Sud</country>
<wicri:noRegion>BukGu, Gwangju 500-757</wicri:noRegion>
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<series><title level="j" type="main">Lecture notes in computer science</title>
<idno type="ISSN">0302-9743</idno>
<imprint><date when="2003">2003</date>
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<seriesStmt><title level="j" type="main">Lecture notes in computer science</title>
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<profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Character recognition</term>
<term>Keyword</term>
<term>Korean</term>
<term>Optical character recognition</term>
<term>Printed character</term>
<term>Printed document</term>
</keywords>
<keywords scheme="Pascal" xml:lang="fr"><term>Reconnaissance caractère</term>
<term>Reconnaissance optique caractère</term>
<term>Caractère imprimé</term>
<term>Document imprimé</term>
<term>Coréen</term>
<term>Mot clé</term>
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</teiHeader>
<front><div type="abstract" xml:lang="en">This paper proposes a system for the extraction of typographical attributes, such as font style and typeface, that can be used to improve the performance of OCR and keyword spotting technologies on printed Korean document images. Three typographical features have been devised and experimented with 7,200 Korean word images. The individual accuracies for font style identification and typeface identification are 97.2% and 99.1%, respectively.</div>
</front>
</TEI>
<affiliations><list><country><li>Corée du Sud</li>
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</list>
<tree><country name="Corée du Sud"><noRegion><name sortKey="Jeong, C B" sort="Jeong, C B" uniqKey="Jeong C" first="C. B." last="Jeong">C. B. Jeong</name>
</noRegion>
<name sortKey="Kim, J S" sort="Kim, J S" uniqKey="Kim J" first="J. S." last="Kim">J. S. Kim</name>
<name sortKey="Kim, S H" sort="Kim, S H" uniqKey="Kim S" first="S. H." last="Kim">S. H. Kim</name>
<name sortKey="Kwag, H K" sort="Kwag, H K" uniqKey="Kwag H" first="H. K." last="Kwag">H. K. Kwag</name>
<name sortKey="Park, S C" sort="Park, S C" uniqKey="Park S" first="S. C." last="Park">S. C. Park</name>
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</record>

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Identification of font styles and typefaces in printed Korean documents

Identification of font styles and typefaces in printed Korean documents

Source :

Descripteurs français

English descriptors

Abstract

Links toward previous steps (curation, corpus...)

Links to Exploration step

Le document en format XML

Pour manipuler ce document sous Unix (Dilib)

Pour mettre un lien sur cette page dans le réseau Wicri