Contribution to the Automatic Recognition of Business Documents
Identifieur interne : 000036 ( Hal/Curation ); précédent : 000035; suivant : 000037Contribution to the Automatic Recognition of Business Documents
Auteurs : Djamel Gaceb [France] ; Frank Lebourgeois [France] ; Véronique Eglin [France] ; Hubert Emptoz [France]Source :
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Abstract
The automatic processing of paper documents and mails is a major challenge for all companies. Current recognition systems use modular architectures in which each stage of the process is independent. To improve the performances, it is necessary to reintroduce a cooperation between the different modules, for example by coupling the segmentation / recognition or zones of interests location / segmentation steps. In this context we propose a mixed approach for text localization and image segmentation which respects real time constraints. In the first part, we are going to present the state of the art in text location and thresholding in the images of postal addresses. In the second part, we will describe our method which simultaneously localize and segment text zones. The Location of text blocks obtained from a multiresolution approach on cumulated gradients computed directly from grey level images. The coupling of the two processes (text zones location and thresholding) allows to reduce simultaneously the computing time by processing only necessary parts of the image and by obtaining a better character segmentation for the OCR (Optical Character Recognition). We will present the results obtained from the implementation of our approach on an industrial line which daily processes several tons of documents from large companies.
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Current recognition systems use modular architectures in which each stage of the process is independent. To improve the performances, it is necessary to reintroduce a cooperation between the different modules, for example by coupling the segmentation / recognition or zones of interests location / segmentation steps. In this context we propose a mixed approach for text localization and image segmentation which respects real time constraints. In the first part, we are going to present the state of the art in text location and thresholding in the images of postal addresses. In the second part, we will describe our method which simultaneously localize and segment text zones. The Location of text blocks obtained from a multiresolution approach on cumulated gradients computed directly from grey level images. The coupling of the two processes (text zones location and thresholding) allows to reduce simultaneously the computing time by processing only necessary parts of the image and by obtaining a better character segmentation for the OCR (Optical Character Recognition). We will present the results obtained from the implementation of our approach on an industrial line which daily processes several tons of documents from large companies.</div></front></TEI><hal api="V3"><titleStmt><title xml:lang="en">Contribution to the Automatic Recognition of Business Documents</title><author role="aut"><persName><forename type="first">Djamel</forename><surname>Gaceb</surname></persName><email>djamel.gaceb1@insa-lyon.fr</email><idno type="halauthor">135462</idno><affiliation ref="#struct-2003"></affiliation></author><author role="aut"><persName><forename type="first">Frank</forename><surname>Lebourgeois</surname></persName><email>flebourg@rfv.insa-lyon.fr</email><idno type="halauthor">135463</idno><affiliation ref="#struct-2003"></affiliation></author><author role="aut"><persName><forename type="first">Véronique</forename><surname>Eglin</surname></persName><email>veronique.eglin@insa-lyon.fr</email><idno type="idhal">veronique-eglin</idno><idno type="halauthor">135464</idno><affiliation ref="#struct-2003"></affiliation></author><author role="aut"><persName><forename type="first">Hubert</forename><surname>Emptoz</surname></persName><email>hubert.emptoz@liris.cnrs.fr</email><idno type="halauthor">135465</idno><affiliation ref="#struct-2003"></affiliation></author><editor role="depositor"><persName><forename>Anne</forename><surname>Jaigu</surname></persName><email>Anne.Jaigu@inria.fr</email></editor><funder>Université de Rennes 1</funder></titleStmt><editionStmt><edition n="v1" type="current"><date type="whenSubmitted">2006-10-06 08:47:39</date><date type="whenModified">2006-10-06 09:22:02</date><date type="whenReleased">2006-10-06 09:22:02</date><date type="whenProduced">2006-10-23</date><date type="whenEndEmbargoed">2006-10-06</date><ref type="file" target="https://hal.inria.fr/inria-00104169/document"><date notBefore="2006-10-06"></date></ref><ref type="file" n="1" target="https://hal.inria.fr/inria-00104169/file/cr1044184407776.pdf"><date notBefore="2006-10-06"></date></ref></edition><respStmt><resp>contributor</resp><name key="102211"><persName><forename>Anne</forename><surname>Jaigu</surname></persName><email>Anne.Jaigu@inria.fr</email></name></respStmt></editionStmt><publicationStmt><distributor>CCSD</distributor><idno type="halId">inria-00104169</idno><idno type="halUri">https://hal.inria.fr/inria-00104169</idno><idno type="halBibtex">gaceb:inria-00104169</idno><idno type="halRefHtml">Guy Lorette. Tenth International Workshop on Frontiers in Handwriting Recognition, Oct 2006, La Baule (France), Suvisoft, 2006</idno><idno type="halRef">Guy Lorette. Tenth International Workshop on Frontiers in Handwriting Recognition, Oct 2006, La Baule (France), Suvisoft, 2006</idno></publicationStmt><seriesStmt><idno type="stamp" n="IWFHR10">International Workshop on Frontiers in Handwriting Recognition</idno><idno type="stamp" n="CNRS">CNRS - Centre national de la recherche scientifique</idno><idno type="stamp" n="UNIV-LYON1">Université Claude Bernard - Lyon I</idno><idno type="stamp" n="UNIV-LYON2">Université Lumière Lyon 2</idno><idno type="stamp" n="INSA-LYON">Institut National des Sciences Appliquées de Lyon</idno><idno type="stamp" n="EC-LYON">Ecole Centrale de Lyon</idno><idno type="stamp" n="LIRIS">Laboratoire d'InfoRmatique en Image et Systèmes d'information</idno></seriesStmt><notesStmt><note type="commentary">http://www.suvisoft.com</note><note type="audience" n="1">Not set</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">Contribution to the Automatic Recognition of Business Documents</title><author role="aut"><persName><forename type="first">Djamel</forename><surname>Gaceb</surname></persName><email>djamel.gaceb1@insa-lyon.fr</email><idno type="halAuthorId">135462</idno><affiliation ref="#struct-2003"></affiliation></author><author role="aut"><persName><forename type="first">Frank</forename><surname>Lebourgeois</surname></persName><email>flebourg@rfv.insa-lyon.fr</email><idno type="halAuthorId">135463</idno><affiliation ref="#struct-2003"></affiliation></author><author role="aut"><persName><forename type="first">Véronique</forename><surname>Eglin</surname></persName><email>veronique.eglin@insa-lyon.fr</email><idno type="idHal">veronique-eglin</idno><idno type="halAuthorId">135464</idno><affiliation ref="#struct-2003"></affiliation></author><author role="aut"><persName><forename type="first">Hubert</forename><surname>Emptoz</surname></persName><email>hubert.emptoz@liris.cnrs.fr</email><idno type="halAuthorId">135465</idno><affiliation ref="#struct-2003"></affiliation></author></analytic><monogr><meeting><title>Tenth International Workshop on Frontiers in Handwriting Recognition</title><date type="start">2006-10-23</date><settlement>La Baule (France)</settlement></meeting><respStmt><resp>conferenceOrganizer</resp><name>Université de Rennes 1</name></respStmt><editor>Guy Lorette</editor><imprint><publisher>Suvisoft</publisher><date type="datePub">2006-10-23</date></imprint></monogr></biblStruct></sourceDesc><profileDesc><langUsage><language ident="en">English</language></langUsage><textClass><keywords scheme="author"><term xml:lang="en">business documents processing.</term><term xml:lang="en">Text location</term><term xml:lang="en">image segmentation</term><term xml:lang="en">real time processing</term><term xml:lang="en">business documents processing</term></keywords><classCode scheme="acm" n="I.5"></classCode><classCode scheme="acm" n="I.7"></classCode><classCode scheme="halDomain" n="info.info-tt">Computer Science [cs]/Document and Text Processing</classCode><classCode scheme="halDomain" n="info.info-cv">Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]</classCode><classCode scheme="halTypology" n="COMM">Conference papers</classCode></textClass><abstract xml:lang="en">The automatic processing of paper documents and mails is a major challenge for all companies. Current recognition systems use modular architectures in which each stage of the process is independent. To improve the performances, it is necessary to reintroduce a cooperation between the different modules, for example by coupling the segmentation / recognition or zones of interests location / segmentation steps. In this context we propose a mixed approach for text localization and image segmentation which respects real time constraints. In the first part, we are going to present the state of the art in text location and thresholding in the images of postal addresses. In the second part, we will describe our method which simultaneously localize and segment text zones. The Location of text blocks obtained from a multiresolution approach on cumulated gradients computed directly from grey level images. The coupling of the two processes (text zones location and thresholding) allows to reduce simultaneously the computing time by processing only necessary parts of the image and by obtaining a better character segmentation for the OCR (Optical Character Recognition). We will present the results obtained from the implementation of our approach on an industrial line which daily processes several tons of documents from large companies.</abstract></profileDesc></hal></record>Pour manipuler ce document sous Unix (Dilib)
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