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Incremental classification of invoice documents

Hatem Hamza 1 Yolande Belaïd 1 Abdel Belaïd 1 Bidyut Baran Chaudhuri 2
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LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : This paper deals with incremental classification and its particular application to invoice classification. An improved version of an already existant incremental neural network called IGNG (Incremental Growing Neural Gas) is used for this purpose . This neural network tries to cover the space of data by adding or deleting neurons as data is fed to the system. The improved version of the IGNG, called I2GNG used local thresholds in order to create or delete neurons. Applied on invoice documents represented with graphs, I2GNG shows a recognition rate of 97.63%.
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https://hal.inria.fr/inria-00346942
Contributor : Yolande Belaid <>
Submitted on : Thursday, February 5, 2009 - 9:09:30 AM
Last modification on : Friday, February 26, 2021 - 3:28:07 PM
Long-term archiving on: : Tuesday, June 8, 2010 - 4:08:57 PM

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Hatem Hamza, Yolande Belaïd, Abdel Belaïd, Bidyut Baran Chaudhuri. Incremental classification of invoice documents. 19th International Conference on Pattern Recognition - ICPR 2008, Dec 2008, Tampa, United States. 4 p., ⟨10.1109/ICPR.2008.4761832⟩. ⟨inria-00346942⟩

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