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
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