Text extraction from graphical document images using sparse representation
Identifieur interne : 004A71 ( Hal/Curation ); précédent : 004A70; suivant : 004A72Text extraction from graphical document images using sparse representation
Auteurs : Thai V. Hoang [France] ; Salvatore Tabbone [France]Source :
Abstract
A novel text extraction method from graphical document images is presented in this paper. Graphical document images containing text and graphics components are considered as two-dimensional signals by which text and graphics have different morphological characteristics. The proposed algorithm relies upon a sparse representation framework with two appropriately chosen discriminative overcomplete dictionaries, each one gives sparse representation over one type of signal and non-sparse representation over the other. Separation of text and graphics components is obtained by promoting sparse representation of input images in these two dictionaries. Some heuristic rules are used for grouping text components into text strings in post-processing steps. The proposed method overcomes the problem of touching between text and graphics. Preliminary experiments show some promising results on different types of document.
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DOI: 10.1145/1815330.1815349
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Graphical document images containing text and graphics components are considered as two-dimensional signals by which text and graphics have different morphological characteristics. The proposed algorithm relies upon a sparse representation framework with two appropriately chosen discriminative overcomplete dictionaries, each one gives sparse representation over one type of signal and non-sparse representation over the other. Separation of text and graphics components is obtained by promoting sparse representation of input images in these two dictionaries. Some heuristic rules are used for grouping text components into text strings in post-processing steps. The proposed method overcomes the problem of touching between text and graphics. Preliminary experiments show some promising results on different types of document.</div></front></TEI><hal api="V3"><titleStmt><title xml:lang="en">Text extraction from graphical document images using sparse representation</title><author role="aut"><persName><forename type="first">Thai V.</forename><surname>Hoang</surname></persName><email>vanthai.hoang@loria.fr</email><idno type="idhal">hoang</idno><idno type="halauthor">446005</idno><affiliation ref="#struct-119680"></affiliation></author><author role="aut"><persName><forename type="first">Salvatore</forename><surname>Tabbone</surname></persName><email>tabbone@loria.fr</email><idno type="halauthor">59043</idno><affiliation ref="#struct-119680"></affiliation></author><editor role="depositor"><persName><forename>Thai V.</forename><surname>Hoang</surname></persName><email>hoang@igbmc.fr</email></editor></titleStmt><editionStmt><edition n="v1" type="current"><date type="whenSubmitted">2010-06-23 14:23:01</date><date type="whenModified">2016-05-19 01:04:38</date><date type="whenReleased">2010-06-23 17:19:19</date><date type="whenProduced">2010-06-09</date><date type="whenEndEmbargoed">2010-06-23</date><ref type="file" target="https://hal.inria.fr/inria-00494513/document"><date notBefore="2010-06-23"></date></ref><ref type="file" subtype="author" n="1" target="https://hal.inria.fr/inria-00494513/file/DAS2010.pdf"><date notBefore="2010-06-23"></date></ref></edition><respStmt><resp>contributor</resp><name key="145187"><persName><forename>Thai V.</forename><surname>Hoang</surname></persName><email>hoang@igbmc.fr</email></name></respStmt></editionStmt><publicationStmt><distributor>CCSD</distributor><idno type="halId">inria-00494513</idno><idno type="halUri">https://hal.inria.fr/inria-00494513</idno><idno type="halBibtex">hoang:inria-00494513</idno><idno type="halRefHtml">International Workshop on Document Analysis Systems - DAS'2010, Jun 2010, Boston, United States. ACM, pp.143-150, 2010, ACM International Conference Proceeding Series; Proceedings of the 8th IAPR International Workshop on Document Analysis Systems. <10.1145/1815330.1815349></idno><idno type="halRef">International Workshop on Document Analysis Systems - DAS'2010, Jun 2010, Boston, United States. ACM, pp.143-150, 2010, ACM International Conference Proceeding Series; Proceedings of the 8th IAPR International Workshop on Document Analysis Systems. <10.1145/1815330.1815349></idno></publicationStmt><seriesStmt><idno type="stamp" n="CNRS">CNRS - Centre national de la recherche scientifique</idno><idno type="stamp" n="INRIA">INRIA - Institut National de Recherche en Informatique et en Automatique</idno><idno type="stamp" n="INPL">Institut National Polytechnique de Lorraine</idno><idno type="stamp" n="LORIA2">Publications du LORIA</idno><idno type="stamp" n="LABO-LORIA-SET" p="LORIA">LABO-LORIA-SET</idno><idno type="stamp" n="LORIA">LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications</idno><idno type="stamp" n="LORIA-TALC" p="LORIA">Traitement automatique des langues et des connaissances</idno><idno type="stamp" n="UNIV-LORRAINE">Université de Lorraine</idno></seriesStmt><notesStmt><note type="audience" n="2">International</note><note type="invited" n="0">No</note><note type="popular" n="0">No</note><note type="peer" n="1">Yes</note><note type="proceedings" n="1">Yes</note></notesStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Text extraction from graphical document images using sparse representation</title><author role="aut"><persName><forename type="first">Thai V.</forename><surname>Hoang</surname></persName><email>vanthai.hoang@loria.fr</email><idno type="idHal">hoang</idno><idno type="halAuthorId">446005</idno><affiliation ref="#struct-119680"></affiliation></author><author role="aut"><persName><forename type="first">Salvatore</forename><surname>Tabbone</surname></persName><email>tabbone@loria.fr</email><idno type="halAuthorId">59043</idno><affiliation ref="#struct-119680"></affiliation></author></analytic><monogr><meeting><title>International Workshop on Document Analysis Systems - DAS'2010</title><date type="start">2010-06-09</date><date type="end">2010-06-11</date><settlement>Boston</settlement><country key="US">United States</country></meeting><imprint><publisher>ACM</publisher><biblScope unit="serie"></biblScope><biblScope unit="pp">143-150</biblScope><date type="datePub">2010-06-09</date></imprint></monogr><idno type="doi">10.1145/1815330.1815349</idno></biblStruct></sourceDesc><profileDesc><langUsage><language ident="en">English</language></langUsage><textClass><classCode scheme="halDomain" n="info.info-ti">Computer Science [cs]/Image Processing</classCode><classCode scheme="halTypology" n="COMM">Conference papers</classCode></textClass><abstract xml:lang="en">A novel text extraction method from graphical document images is presented in this paper. Graphical document images containing text and graphics components are considered as two-dimensional signals by which text and graphics have different morphological characteristics. The proposed algorithm relies upon a sparse representation framework with two appropriately chosen discriminative overcomplete dictionaries, each one gives sparse representation over one type of signal and non-sparse representation over the other. Separation of text and graphics components is obtained by promoting sparse representation of input images in these two dictionaries. Some heuristic rules are used for grouping text components into text strings in post-processing steps. The proposed method overcomes the problem of touching between text and graphics. Preliminary experiments show some promising results on different types of document.</abstract></profileDesc></hal></record>Pour manipuler ce document sous Unix (Dilib)
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