Case-based reasoning for invoice analysis and recognition - Inria - Institut national de recherche en sciences et technologies du numérique Accéder directement au contenu
Communication Dans Un Congrès Année : 2007

Case-based reasoning for invoice analysis and recognition

Hatem Hamza
  • Fonction : Auteur
  • PersonId : 830528
Yolande Belaïd
Abdel Belaïd
  • Fonction : Auteur

Résumé

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.
Fichier principal
Vignette du fichier
iccbr_camera_ready1.pdf (454.06 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

inria-00176632 , version 1 (04-10-2007)

Identifiants

Citer

Hatem Hamza, Yolande Belaïd, Abdel Belaïd. Case-based reasoning for invoice analysis and recognition. 7th International Conference on Case-based Reasoning - ICCBR 2007, Aug 2007, Belfast, United Kingdom. pp.404-418, ⟨10.1007/978-3-540-74141-1_28⟩. ⟨inria-00176632⟩
221 Consultations
1094 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More