Incremental classification of invoice documents
Identifieur interne : 003D46 ( Main/Exploration ); précédent : 003D45; suivant : 003D47Incremental classification of invoice documents
Auteurs : Hatem Hamza [France] ; Yolande Belaïd [France] ; Abdel Belaïd [France] ; Bidyut Baran Chaudhuri [Inde]Source :
Descripteurs français
- Wicri :
- topic : Classification.
English descriptors
- mix :
Abstract
This paper deals with incremental classification and its particular application to invoice classification. An improved version of an already existant incremental neural network called IGNG (Incremental Growing Neural Gas) is used for this purpose . This neural network tries to cover the space of data by adding or deleting neurons as data is fed to the system. The improved version of the IGNG, called I2GNG used local thresholds in order to create or delete neurons. Applied on invoice documents represented with graphs, I2GNG shows a recognition rate of 97.63%.
Url:
DOI: 10.1109/ICPR.2008.4761832
Affiliations:
- France, Inde
- Grand Est, Lorraine (région)
- Nancy
- Institut national polytechnique de Lorraine, Université Nancy 2, Université de Lorraine
Links toward previous steps (curation, corpus...)
- to stream Hal, to step Corpus: 002A67
- to stream Hal, to step Curation: 002A67
- to stream Hal, to step Checkpoint: 003056
- to stream Main, to step Merge: 003E75
- to stream Main, to step Curation: 003D46
Le document en format XML
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key="FR"></country></address><ref type="url">http://www.cnrs.fr/</ref></desc></org></tutelle><tutelle active="#struct-300009" type="indirect"><org type="institution" xml:id="struct-300009" status="VALID"><orgName>Institut National de Recherche en Informatique et en Automatique</orgName><orgName type="acronym">Inria</orgName><desc><address><addrLine>Domaine de VoluceauRocquencourt - 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><author><name sortKey="Chaudhuri, Bidyut Baran" sort="Chaudhuri, Bidyut Baran" uniqKey="Chaudhuri B" first="Bidyut Baran" last="Chaudhuri">Bidyut Baran Chaudhuri</name><affiliation wicri:level="1"><hal:affiliation type="laboratory" xml:id="struct-7209" status="VALID"><orgName>Computer Vision and Pattern Recognition Unit</orgName><orgName type="acronym">CVPR</orgName><desc><address><country key="IN"></country></address></desc><listRelation><relation active="#struct-365071" type="direct"></relation></listRelation><tutelles><tutelle active="#struct-365071" type="direct"><org type="institution" xml:id="struct-365071" status="INCOMING"><orgName>INDIAN STATISTICAL INSTITUTE</orgName><desc><address><country key="FR"></country></address></desc></org></tutelle></tutelles></hal:affiliation><country>Inde</country></affiliation></author></analytic><idno type="DOI">10.1109/ICPR.2008.4761832</idno></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="mix" xml:lang="en"><term>Case-based reasoning</term><term>Classification</term><term>Document image processing</term><term>Incremental growing neural gas</term><term>Neural network</term></keywords><keywords scheme="Wicri" type="topic" xml:lang="fr"><term>Classification</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">This paper deals with incremental classification and its particular application to invoice classification. An improved version of an already existant incremental neural network called IGNG (Incremental Growing Neural Gas) is used for this purpose . This neural network tries to cover the space of data by adding or deleting neurons as data is fed to the system. The improved version of the IGNG, called I2GNG used local thresholds in order to create or delete neurons. Applied on invoice documents represented with graphs, I2GNG shows a recognition rate of 97.63%.</div></front></TEI><affiliations><list><country><li>France</li><li>Inde</li></country><region><li>Grand Est</li><li>Lorraine (région)</li></region><settlement><li>Nancy</li></settlement><orgName><li>Institut national polytechnique de Lorraine</li><li>Université Nancy 2</li><li>Université de Lorraine</li></orgName></list><tree><country name="France"><region name="Grand Est"><name sortKey="Hamza, Hatem" sort="Hamza, Hatem" uniqKey="Hamza H" first="Hatem" last="Hamza">Hatem Hamza</name></region><name sortKey="Belaid, Abdel" sort="Belaid, Abdel" uniqKey="Belaid A" first="Abdel" last="Belaïd">Abdel Belaïd</name><name sortKey="Belaid, Yolande" sort="Belaid, Yolande" uniqKey="Belaid Y" first="Yolande" last="Belaïd">Yolande Belaïd</name></country><country name="Inde"><noRegion><name sortKey="Chaudhuri, Bidyut Baran" sort="Chaudhuri, Bidyut Baran" uniqKey="Chaudhuri B" first="Bidyut Baran" last="Chaudhuri">Bidyut Baran Chaudhuri</name></noRegion></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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