• DocumentCode
    1633704
  • Title

    Seizing the Treasure: Transferring Knowledge in Invoice Analysis

  • Author

    Schulz, Frederick ; Ebbecke, Markus ; Gillmann, Michael ; Adrian, Benjamin ; Agne, Stefan ; Dengel, Andreas

  • Author_Institution
    Insiders Technol. GmbH, Germany
  • fYear
    2009
  • Firstpage
    848
  • Lastpage
    852
  • Abstract
    This paper deals with the transfer of knowledge on invoice document layout and extraction strategies, collected by users of the invoice recognition software smartFIX over several years of productive use, to other user´s systems. The results of a project analyzing this ´treasure´ of knowledge and putting it to use in the smartFIX system are presented. The evaluation shows that this transfer of knowledge using state-of-the-art techniques in transfer learning achieves significantly higher initial recognition rates than the unaugmented system, delivering instant economic advantages by reducing accountant personnel workload.
  • Keywords
    accounts data processing; document handling; invoicing; accountant personnel workload; invoice analysis software; invoice document extraction; invoice document layout; knowledge transfer; layout knowledge; self-teaching mechanisms; smartFIX; Artificial intelligence; Consumer electronics; Data analysis; Data mining; Data privacy; Databases; Learning; Personnel; Protection; Text analysis; accounts payable; invoice analysis; transfer learning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Document Analysis and Recognition, 2009. ICDAR '09. 10th International Conference on
  • Conference_Location
    Barcelona
  • ISSN
    1520-5363
  • Print_ISBN
    978-1-4244-4500-4
  • Electronic_ISBN
    1520-5363
  • Type

    conf

  • DOI
    10.1109/ICDAR.2009.47
  • Filename
    5277528