Incremental classification of invoice documents

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...

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Bibliographic Details
Main Authors: Hamza, H., Belaid, Y., Belaid, A., Chaudhuri, B.B.
Format: Conference Proceeding
Language:English
Subjects:
Equations
Image segmentation
Machine learning
Neural networks
Neurons
Self organizing feature maps
Tree graphs
Online Access:Request full text
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Summary: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%.
ISSN:1051-4651
2831-7475
DOI:10.1109/ICPR.2008.4761832