Case-Based Reasoning for Invoice Analysis and Recognition

  • Authors:
  • Hatem Hamza;Yolande Belaïd;Abdel Belaïd

  • Affiliations:
  • ITESOFT, Parc d'Andron, Le Sequoia. 30470 Aimargues., France and University Nancy 2, LORIA. 54506 Vandoeuvre-les-Nancy, France;University Nancy 2, LORIA. 54506 Vandoeuvre-les-Nancy, France;University Nancy 2, LORIA. 54506 Vandoeuvre-les-Nancy, France

  • Venue:
  • ICCBR '07 Proceedings of the 7th international conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
  • Year:
  • 2007

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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.