Logical Labeling of Document Images Using Layout Graph Matching with Adaptive Learning
DAS '02 Proceedings of the 5th International Workshop on Document Analysis Systems V
Web directories as a knowledge base to build a multi-agent system for information sharing
Web Intelligence and Agent Systems
Open world classification of printed invoices
Proceedings of the 10th ACM symposium on Document engineering
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In this paper, we propose an integrated approach to page classification and logical labelling. Layout is represented by a fully connected attributed relational graph that is matched to the graph of an unknown document, achieving classification and labelling simultaneously. Byincorporating global constraints in an integrated fashion, ambiguity at the zone level can be reduced, providing robustness to noise and variation. Models are automatically trained from sample documents. Experimental results show promise for the classification and labelling oftechnical article title pages, and supports the idea of a hierarchical model base.