Machine Learning for Intelligent Processing of Printed Documents
Journal of Intelligent Information Systems - Special issue on methodologies for intelligent information systems
Automatic Knowledge Acquisition for Spatial Document Interpretation
ICDAR '97 Proceedings of the 4th International Conference on Document Analysis and Recognition
Induction of Recursive Theories in the Normal ILP Setting: Issues and Solutions
ILP '00 Proceedings of the 10th International Conference on Inductive Logic Programming
Clustering and classification of document structure-a machine learning approach
ICDAR '95 Proceedings of the Third International Conference on Document Analysis and Recognition (Volume 2) - Volume 2
Construction of generic models of document structures using inference of tree grammars
ICDAR '95 Proceedings of the Third International Conference on Document Analysis and Recognition (Volume 1) - Volume 1
A knowledge-based approach to the layout analysis
ICDAR '95 Proceedings of the Third International Conference on Document Analysis and Recognition (Volume 1) - Volume 1
Text/Graphic labelling of Ancient Printed Documents
ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
Ancient printed documents indexation: a new approach
ICAPR'05 Proceedings of the Third international conference on Advances in Pattern Recognition - Volume Part I
| Hi-index | 0.00 |
Layout analysis is the process of extracting a hierarchical structure describing the layout of a page. In the document processing system WISDOM++ the layout analysis is performed in two steps: firstly, the global analysis determines possible areas containing paragraphs, sections, columns, figures and tables, and secondly, the local analysis groups together blocks that possibly fall within the same area. The result of the local analysis process strongly depends on the quality of the results of the first step. In this paper we investigate the possibility of supporting the user during the correction of the results of the global analysis. This is done by allowing the user to correct the results of the global analysis and then by learning rules for layout correction from the sequence of user actions. Experimental results on a set of multipage documents are reported.