Classification of business documents for real time application
Identifieur interne : 000069 ( Main/Exploration ); précédent : 000068; suivant : 000070Classification of business documents for real time application
Auteurs : Djamel Gaceb [France] ; Véronique Eglin [France] ; Frank Le Bourgeois [France]Source :
Abstract
In this paper, we present a new document classification based on physical layout features and graph b-coloring modeling. In order to reduce the computed time and to increase the performance of our automatic reading system, we propose to pre-classify the business documents by introducing an Automatic Recognition of Documents stage (ARD) as a pre-analysis phase. This phase guides the others involved in the recognition process of the documents contents. Once the document type identified, the reading system will use its corresponding information source to improve the recognition of its logical layout, the selection and parameterization of the OCR, and the final decision of sorting. The graph coloring model is introduced for both layout analysis and document classification. The proposed method is reliable, robust to various constraints and guarantees a real-time answer to the sorting ofbusiness documents.
Url:
DOI: 10.1007/s11554-011-0227-4
Affiliations:
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Le document en format XML
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69134 Ecully cedex</addrLine><country key="FR"></country></address><ref type="url">http://www.ec-lyon.fr</ref></desc></org></tutelle><tutelle active="#struct-194495" type="indirect"><org type="institution" xml:id="struct-194495" status="VALID"><orgName>Université Claude Bernard Lyon 1</orgName><orgName type="acronym">UCBL</orgName><desc><address><addrLine>43, boulevard du 11 novembre 1918, 69622 Villeurbanne cedex</addrLine><country key="FR"></country></address><ref type="url">http://www.univ-lyon1.fr/</ref></desc></org></tutelle><tutelle name="- LYON" active="#struct-301232" type="indirect"><org type="institution" xml:id="struct-301232" status="VALID"><orgName>Institut National des Sciences Appliquées</orgName><orgName type="acronym">INSA</orgName><desc><address><country key="FR"></country></address></desc></org></tutelle><tutelle name="UMR5205" active="#struct-441569" type="indirect"><org type="institution" xml:id="struct-441569" status="VALID"><idno type="IdRef">02636817X</idno><idno type="ISNI">0000000122597504</idno><orgName>Centre National de la Recherche Scientifique</orgName><orgName type="acronym">CNRS</orgName><date type="start">1939-10-19</date><desc><address><country key="FR"></country></address><ref type="url">http://www.cnrs.fr/</ref></desc></org></tutelle></tutelles></hal:affiliation><country>France</country><placeName><settlement type="city">Lyon</settlement><region type="region" nuts="2">Auvergne-Rhône-Alpes</region><region type="old region" nuts="2">Rhône-Alpes</region></placeName><orgName type="university">Université Claude Bernard Lyon 1</orgName><orgName type="institution" wicri:auto="newGroup">Université de Lyon</orgName></affiliation></author></analytic><idno type="DOI">10.1007/s11554-011-0227-4</idno></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">In this paper, we present a new document classification based on physical layout features and graph b-coloring modeling. In order to reduce the computed time and to increase the performance of our automatic reading system, we propose to pre-classify the business documents by introducing an Automatic Recognition of Documents stage (ARD) as a pre-analysis phase. This phase guides the others involved in the recognition process of the documents contents. Once the document type identified, the reading system will use its corresponding information source to improve the recognition of its logical layout, the selection and parameterization of the OCR, and the final decision of sorting. The graph coloring model is introduced for both layout analysis and document classification. The proposed method is reliable, robust to various constraints and guarantees a real-time answer to the sorting ofbusiness documents.</div></front></TEI><affiliations><list><country><li>France</li></country><region><li>Auvergne-Rhône-Alpes</li><li>Rhône-Alpes</li></region><settlement><li>Lyon</li></settlement><orgName><li>Université Claude Bernard Lyon 1</li><li>Université de Lyon</li></orgName></list><tree><country name="France"><region name="Auvergne-Rhône-Alpes"><name sortKey="Gaceb, Djamel" sort="Gaceb, Djamel" uniqKey="Gaceb D" first="Djamel" last="Gaceb">Djamel Gaceb</name></region><name sortKey="Eglin, Veronique" sort="Eglin, Veronique" uniqKey="Eglin V" first="Véronique" last="Eglin">Véronique Eglin</name><name sortKey="Le Bourgeois, Frank" sort="Le Bourgeois, Frank" uniqKey="Le Bourgeois F" first="Frank" last="Le Bourgeois">Frank Le Bourgeois</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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