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
Link To Document :
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