Construction of model of structured documents based on machine learning

Authors:
Sergey Golubev
Affiliations:
Moscow Institute of Physics and Technology, Dolgoprudny, Russia and ABBYY Software, Moscow, Russia
Venue:
PReMI'11 Proceedings of the 4th international conference on Pattern recognition and machine intelligence
Year:
2011

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Abstract

In this paper we consider the problem of structured document recognition. The document recognition system is proposed. This system incorporates a recognition module based on methods of structured image recognition, a graph document model and a method of document model generalization. The machine learning component makes the process of document model construction easier and less time-consuming.