Making Documents Work: Challenges for Document Understanding
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 2
Multi-page document analysis based on format consistency and clustering
International Journal of Computer Applications in Technology
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Abstract: Document image understanding denotes the recognition of semantically relevant components in the layout extracted from a document image. This recognition process is based on some visual models, whose manual specification can be a highly demanding task. In order to automatically acquire these models, we propose the application of machine learning techniques. In this paper, problems raised by possible dependencies between concepts to be learned are illustrated and solved with a computational strategy based on the separate-and-parallel-conquer search. The approach is tested on a set of real multi-page documents processed by the system WISDOM++. New results confirm the validity of the proposed strategy and show some limits of the learning system used in this work.