Seizing the Treasure: Transferring Layout Knowledge in Invoice Analysis

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

In: 10th International Conference on Document Analysis and Recognition. International Conference on Document Analysis and Recognition (ICDAR-09) July 26-29 Barcelona Spain Seiten 848-852 ISBN 978-0-7695-3725-2/09 IEEE Heidelberg 2009.


This paper deals with the transfer of knowledge on invoice document layout and extraction strategies. This knowledge has been automatically generated by self-teaching mechanisms of the invoice analysis software smartFIX over several years of operation. We present results of analyzing this "treasure" of knowledge and putting it to use in smartFIX systems of new users. 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.

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Deutsches Forschungszentrum für Künstliche Intelligenz
German Research Center for Artificial Intelligence