Case-based reasoning for invoice analysis and recognition
Identifieur interne : 001415 ( Hal/Curation ); précédent : 001414; suivant : 001416Case-based reasoning for invoice analysis and recognition
Auteurs : Hatem Hamza [France] ; Yolande Belaïd [France] ; Abdel Belaïd [France]Source :
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Abstract
This paper introduces the approach CBRDIA (Case-based Reasoning for Document Invoice Analysis) which uses the principles of case-based reasoning to analyze, recognize and interpret invoices. Two CBR cycles are performed sequentially in CBRDIA. The first one consists in checking whether a similar document has already been processed, which makes the interpretation of the current one easy. The second cycle works if the first one fails. It processes the document by analyzing and interpreting its structuring elements (adresses, amounts, tables, etc) one by one. The CBR cycles allow processing documents from both knonwn or unknown classes. Applied on 923 invoices, CBRDIA reaches a recognition rate of 85,22% for documents of known classes and 74,90% for documents of unknown classes.
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DOI: 10.1007/978-3-540-74141-1_28
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BP 10578153 Le Chesnay Cedex</addrLine><country key="FR"></country></address><ref type="url">http://www.inria.fr/en/</ref></desc></org></tutelle><tutelle active="#struct-300291" type="indirect"><org type="institution" xml:id="struct-300291" status="OLD"><orgName>Université Henri Poincaré - Nancy 1</orgName><orgName type="acronym">UHP</orgName><date type="end">2011-12-31</date><desc><address><addrLine>24-30 rue Lionnois, BP 60120, 54 003 NANCY cedex, France</addrLine><country key="FR"></country></address></desc></org></tutelle><tutelle active="#struct-300292" type="indirect"><org type="institution" xml:id="struct-300292" status="OLD"><orgName>Université Nancy 2</orgName><date type="end">2011-12-31</date><desc><address><addrLine>91 avenue de la Libération, BP 454, 54001 Nancy cedex</addrLine><country key="FR"></country></address></desc></org></tutelle><tutelle active="#struct-300293" type="indirect"><org type="institution" xml:id="struct-300293" status="OLD"><orgName>Institut National Polytechnique de Lorraine</orgName><orgName type="acronym">INPL</orgName><date type="end">2011-12-31</date><desc><address><country key="FR"></country></address></desc></org></tutelle></tutelles></hal:affiliation><country>France</country><placeName><settlement type="city">Nancy</settlement><region type="region" nuts="2">Grand Est</region><region type="old region" nuts="2">Lorraine (région)</region></placeName><orgName type="university">Université Nancy 2</orgName><orgName type="institution" wicri:auto="newGroup">Université de Lorraine</orgName><placeName><settlement type="city">Nancy</settlement><region type="region" nuts="2">Grand Est</region><region type="old region" nuts="2">Lorraine (région)</region></placeName><orgName type="university">Institut national polytechnique de Lorraine</orgName><orgName type="institution" wicri:auto="newGroup">Université de Lorraine</orgName></affiliation></author></analytic><idno type="DOI">10.1007/978-3-540-74141-1_28</idno></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="mix" xml:lang="en"><term>case-based reasoning</term><term>document case</term><term>invoice analysis</term><term>invoice interpretation</term><term>structure case</term><term>structure extraction</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">This paper introduces the approach CBRDIA (Case-based Reasoning for Document Invoice Analysis) which uses the principles of case-based reasoning to analyze, recognize and interpret invoices. Two CBR cycles are performed sequentially in CBRDIA. The first one consists in checking whether a similar document has already been processed, which makes the interpretation of the current one easy. The second cycle works if the first one fails. It processes the document by analyzing and interpreting its structuring elements (adresses, amounts, tables, etc) one by one. The CBR cycles allow processing documents from both knonwn or unknown classes. Applied on 923 invoices, CBRDIA reaches a recognition rate of 85,22% for documents of known classes and 74,90% for documents of unknown classes.</div></front></TEI><hal api="V3"><titleStmt><title xml:lang="en">Case-based reasoning for invoice analysis and recognition</title><author role="aut"><persName><forename type="first">Hatem</forename><surname>Hamza</surname></persName><email>hamza@loria.fr</email><idno type="halauthor">213681</idno><orgName ref="#struct-365824"></orgName><affiliation ref="#struct-2362"></affiliation></author><author role="aut"><persName><forename type="first">Yolande</forename><surname>Belaïd</surname></persName><email>ybelaid@loria.fr</email><idno type="idhal">yolande-belaid</idno><idno type="halauthor">213682</idno><orgName ref="#struct-300292"></orgName><affiliation ref="#struct-2362"></affiliation></author><author role="aut"><persName><forename type="first">Abdel</forename><surname>Belaïd</surname></persName><email></email><idno type="halauthor">59672</idno><orgName ref="#struct-300292"></orgName><affiliation ref="#struct-2362"></affiliation></author><editor role="depositor"><persName><forename>Hatem</forename><surname>Hamza</surname></persName><email>hamza@loria.fr</email></editor></titleStmt><editionStmt><edition n="v1" type="current"><date type="whenSubmitted">2007-10-04 11:45:58</date><date type="whenModified">2016-05-19 01:05:36</date><date type="whenReleased">2007-10-04 21:13:06</date><date type="whenProduced">2007-08</date><date type="whenEndEmbargoed">2007-10-04</date><ref type="file" target="https://hal.inria.fr/inria-00176632/document"><date notBefore="2007-10-04"></date></ref><ref type="file" subtype="author" n="1" target="https://hal.inria.fr/inria-00176632/file/iccbr_camera_ready1.pdf"><date notBefore="2007-10-04"></date></ref></edition><respStmt><resp>contributor</resp><name key="103253"><persName><forename>Hatem</forename><surname>Hamza</surname></persName><email>hamza@loria.fr</email></name></respStmt></editionStmt><publicationStmt><distributor>CCSD</distributor><idno type="halId">inria-00176632</idno><idno type="halUri">https://hal.inria.fr/inria-00176632</idno><idno type="halBibtex">hamza:inria-00176632</idno><idno type="halRefHtml">Rosina O. Weber and Michael M. Richter. 7th International Conference on Case-based Reasoning - ICCBR 2007, Aug 2007, Belfast, United Kingdom. Springer Berlin / Heidelberg, 4626, pp.404-418, 2007, Lecture Notes in Computer Science; Case-base reasoning research and development. <10.1007/978-3-540-74141-1_28></idno><idno type="halRef">Rosina O. Weber and Michael M. Richter. 7th International Conference on Case-based Reasoning - ICCBR 2007, Aug 2007, Belfast, United Kingdom. Springer Berlin / Heidelberg, 4626, pp.404-418, 2007, Lecture Notes in Computer Science; Case-base reasoning research and development. <10.1007/978-3-540-74141-1_28></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="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><idno type="stamp" n="INPL">Institut National Polytechnique de Lorraine</idno></seriesStmt><notesStmt><note type="commentary">The original publication is available at www.springerlink.com , ISBN 978-3-540-74138-1, ISSN 0302-9743 (Print) 1611-3349 (Online)</note><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">Case-based reasoning for invoice analysis and recognition</title><author role="aut"><persName><forename type="first">Hatem</forename><surname>Hamza</surname></persName><email>hamza@loria.fr</email><idno type="halAuthorId">213681</idno><orgName ref="#struct-365824"></orgName><affiliation ref="#struct-2362"></affiliation></author><author role="aut"><persName><forename type="first">Yolande</forename><surname>Belaïd</surname></persName><email>ybelaid@loria.fr</email><idno type="idHal">yolande-belaid</idno><idno type="halAuthorId">213682</idno><orgName ref="#struct-300292"></orgName><affiliation ref="#struct-2362"></affiliation></author><author role="aut"><persName><forename type="first">Abdel</forename><surname>Belaïd</surname></persName><idno type="halAuthorId">59672</idno><orgName ref="#struct-300292"></orgName><affiliation ref="#struct-2362"></affiliation></author></analytic><monogr><meeting><title>7th International Conference on Case-based Reasoning - ICCBR 2007</title><date type="start">2007-08</date><settlement>Belfast</settlement><country key="GB">United Kingdom</country></meeting><editor>Rosina O. Weber and Michael M. Richter</editor><imprint><publisher>Springer Berlin / Heidelberg</publisher><biblScope unit="serie"></biblScope><biblScope unit="volume">4626</biblScope><biblScope unit="pp">404-418</biblScope><date type="datePub">2007</date></imprint></monogr><idno type="doi">10.1007/978-3-540-74141-1_28</idno></biblStruct></sourceDesc><profileDesc><langUsage><language ident="en">English</language></langUsage><textClass><keywords scheme="author"><term xml:lang="en">case-based reasoning</term><term xml:lang="en">document case</term><term xml:lang="en">structure case</term><term xml:lang="en">invoice analysis</term><term xml:lang="en">invoice interpretation</term><term xml:lang="en">structure extraction</term></keywords><classCode scheme="halDomain" n="info.info-ai">Computer Science [cs]/Artificial Intelligence [cs.AI]</classCode><classCode scheme="halDomain" n="info.info-cv">Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]</classCode><classCode scheme="halDomain" n="info.info-tt">Computer Science [cs]/Document and Text Processing</classCode><classCode scheme="halTypology" n="COMM">Conference papers</classCode></textClass><abstract xml:lang="en">This paper introduces the approach CBRDIA (Case-based Reasoning for Document Invoice Analysis) which uses the principles of case-based reasoning to analyze, recognize and interpret invoices. Two CBR cycles are performed sequentially in CBRDIA. The first one consists in checking whether a similar document has already been processed, which makes the interpretation of the current one easy. The second cycle works if the first one fails. It processes the document by analyzing and interpreting its structuring elements (adresses, amounts, tables, etc) one by one. The CBR cycles allow processing documents from both knonwn or unknown classes. Applied on 923 invoices, CBRDIA reaches a recognition rate of 85,22% for documents of known classes and 74,90% for documents of unknown classes.</abstract></profileDesc></hal></record>Pour manipuler ce document sous Unix (Dilib)
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