A case-based reasoning approach for invoice structure extraction

Hatem Hamza 1 Yolande Belaïd 1 Abdel Belaïd 1
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LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : This paper shows the use of case-based reasoning (CBR) for invoice structure extraction and analysis. This method, called CBR-DIA (CBR for Document Invoice Analysis), is adaptive and does not need any previous training. It analyses a document by retrieving and analysing similar documents or elements of documents (cases) stored in a database. The retrieval step is performed thanks to graph comparison techniques like graph probing and edit distance. The analysis step is done thanks to the information found in the nearest retrieved cases. Applied on 950 invoices, CBR-DIA reaches a recognition rate of 85.29% for documents of known classes and 76.33% for documents of unknown classes.
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Communication dans un congrès
Flavio Bortolozzi and Robert Sabourin. 9th International Conference on Document Analysis and Recognition - ICDAR'07, Sep 2007, Curitiba, Brazil. IEEE Computer Society, 1, pp.327--331, 2007, 〈10.1109/ICDAR.2007.4378726〉
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Soumis le : vendredi 25 janvier 2008 - 12:39:58
Dernière modification le : mardi 24 avril 2018 - 13:34:08
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Hatem Hamza, Yolande Belaïd, Abdel Belaïd. A case-based reasoning approach for invoice structure extraction. Flavio Bortolozzi and Robert Sabourin. 9th International Conference on Document Analysis and Recognition - ICDAR'07, Sep 2007, Curitiba, Brazil. IEEE Computer Society, 1, pp.327--331, 2007, 〈10.1109/ICDAR.2007.4378726〉. 〈inria-00176644〉

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