Text Segmentation in Complex Background Based on Color and Scale Information of Character Strokes
Identifieur interne : 000F77 ( Istex/Curation ); précédent : 000F76; suivant : 000F78Text Segmentation in Complex Background Based on Color and Scale Information of Character Strokes
Auteurs : Weiqiang Wang [République populaire de Chine] ; Libo Fu [République populaire de Chine] ; Wen Gao [République populaire de Chine]Source :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2007.
Abstract
Abstract: This paper presents a robust approach to segmenting text embedded in complex background. Our approach consists of four steps: smart sampling, unsupervised clustering, the Bayesian decision, post-processing. The experimental results show that it works effectively, and is more efficient in removing complex background residues than the popular K-means method.
Url:
DOI: 10.1007/978-3-540-77255-2_44
Links toward previous steps (curation, corpus...)
- to stream Istex, to step Corpus: Pour aller vers cette notice dans l'étape Curation :001028
Links to Exploration step
ISTEX:53048A08520B84C3555231C58815212292D5643ALe document en format XML
<record><TEI wicri:istexFullTextTei="biblStruct"><teiHeader><fileDesc><titleStmt><title xml:lang="en">Text Segmentation in Complex Background Based on Color and Scale Information of Character Strokes</title><author><name sortKey="Wang, Weiqiang" sort="Wang, Weiqiang" uniqKey="Wang W" first="Weiqiang" last="Wang">Weiqiang Wang</name><affiliation wicri:level="1"><mods:affiliation>Institute of Computing Technology, CAS, Beijing, 100080, China</mods:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Institute of Computing Technology, CAS, Beijing, 100080</wicri:regionArea></affiliation><affiliation wicri:level="1"><mods:affiliation>Graduate School of Chinese Academy of Sciences, CAS, Beijing, 100039, China</mods:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Graduate School of Chinese Academy of Sciences, CAS, Beijing, 100039</wicri:regionArea></affiliation><affiliation wicri:level="1"><mods:affiliation>E-mail: wqwang@ict.ac.cn</mods:affiliation><country wicri:rule="url">République populaire de Chine</country></affiliation></author><author><name sortKey="Fu, Libo" sort="Fu, Libo" uniqKey="Fu L" first="Libo" last="Fu">Libo Fu</name><affiliation wicri:level="1"><mods:affiliation>Institute of Computing Technology, CAS, Beijing, 100080, China</mods:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Institute of Computing Technology, CAS, Beijing, 100080</wicri:regionArea></affiliation><affiliation wicri:level="1"><mods:affiliation>E-mail: lbfu@ict.ac.cn</mods:affiliation><country wicri:rule="url">République populaire de Chine</country></affiliation></author><author><name sortKey="Gao, Wen" sort="Gao, Wen" uniqKey="Gao W" first="Wen" last="Gao">Wen Gao</name><affiliation wicri:level="1"><mods:affiliation>Institute of Computing Technology, CAS, Beijing, 100080, China</mods:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Institute of Computing Technology, CAS, Beijing, 100080</wicri:regionArea></affiliation><affiliation wicri:level="1"><mods:affiliation>Graduate School of Chinese Academy of Sciences, CAS, Beijing, 100039, China</mods:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Graduate School of Chinese Academy of Sciences, CAS, Beijing, 100039</wicri:regionArea></affiliation><affiliation wicri:level="1"><mods:affiliation>E-mail: wgao@ict.ac.cn</mods:affiliation><country wicri:rule="url">République populaire de Chine</country></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">ISTEX</idno><idno type="RBID">ISTEX:53048A08520B84C3555231C58815212292D5643A</idno><date when="2007" year="2007">2007</date><idno type="doi">10.1007/978-3-540-77255-2_44</idno><idno type="url">https://api.istex.fr/document/53048A08520B84C3555231C58815212292D5643A/fulltext/pdf</idno><idno type="wicri:Area/Istex/Corpus">001028</idno><idno type="wicri:Area/Istex/Curation">000F77</idno></publicationStmt><sourceDesc><biblStruct><analytic><title level="a" type="main" xml:lang="en">Text Segmentation in Complex Background Based on Color and Scale Information of Character Strokes</title><author><name sortKey="Wang, Weiqiang" sort="Wang, Weiqiang" uniqKey="Wang W" first="Weiqiang" last="Wang">Weiqiang Wang</name><affiliation wicri:level="1"><mods:affiliation>Institute of Computing Technology, CAS, Beijing, 100080, China</mods:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Institute of Computing Technology, CAS, Beijing, 100080</wicri:regionArea></affiliation><affiliation wicri:level="1"><mods:affiliation>Graduate School of Chinese Academy of Sciences, CAS, Beijing, 100039, China</mods:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Graduate School of Chinese Academy of Sciences, CAS, Beijing, 100039</wicri:regionArea></affiliation><affiliation wicri:level="1"><mods:affiliation>E-mail: wqwang@ict.ac.cn</mods:affiliation><country wicri:rule="url">République populaire de Chine</country></affiliation></author><author><name sortKey="Fu, Libo" sort="Fu, Libo" uniqKey="Fu L" first="Libo" last="Fu">Libo Fu</name><affiliation wicri:level="1"><mods:affiliation>Institute of Computing Technology, CAS, Beijing, 100080, China</mods:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Institute of Computing Technology, CAS, Beijing, 100080</wicri:regionArea></affiliation><affiliation wicri:level="1"><mods:affiliation>E-mail: lbfu@ict.ac.cn</mods:affiliation><country wicri:rule="url">République populaire de Chine</country></affiliation></author><author><name sortKey="Gao, Wen" sort="Gao, Wen" uniqKey="Gao W" first="Wen" last="Gao">Wen Gao</name><affiliation wicri:level="1"><mods:affiliation>Institute of Computing Technology, CAS, Beijing, 100080, China</mods:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Institute of Computing Technology, CAS, Beijing, 100080</wicri:regionArea></affiliation><affiliation wicri:level="1"><mods:affiliation>Graduate School of Chinese Academy of Sciences, CAS, Beijing, 100039, China</mods:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Graduate School of Chinese Academy of Sciences, CAS, Beijing, 100039</wicri:regionArea></affiliation><affiliation wicri:level="1"><mods:affiliation>E-mail: wgao@ict.ac.cn</mods:affiliation><country wicri:rule="url">République populaire de Chine</country></affiliation></author></analytic><monogr></monogr><series><title level="s">Lecture Notes in Computer Science</title><imprint><date>2007</date></imprint><idno type="ISSN">0302-9743</idno><idno type="eISSN">1611-3349</idno><idno type="ISSN">0302-9743</idno></series><idno type="istex">53048A08520B84C3555231C58815212292D5643A</idno><idno type="DOI">10.1007/978-3-540-77255-2_44</idno><idno type="ChapterID">44</idno><idno type="ChapterID">Chap44</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 presents a robust approach to segmenting text embedded in complex background. Our approach consists of four steps: smart sampling, unsupervised clustering, the Bayesian decision, post-processing. The experimental results show that it works effectively, and is more efficient in removing complex background residues than the popular K-means method.</div></front></TEI></record>Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Ticri/CIDE/explor/OcrV1/Data/Istex/Curation
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000F77 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/Istex/Curation/biblio.hfd -nk 000F77 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien
|wiki= Ticri/CIDE
|area= OcrV1
|flux= Istex
|étape= Curation
|type= RBID
|clé= ISTEX:53048A08520B84C3555231C58815212292D5643A
|texte= Text Segmentation in Complex Background Based on Color and Scale Information of Character Strokes
}}
| This area was generated with Dilib version V0.6.32. |  |