Kalman filter contributions towards document segmentation
ICDAR '95 Proceedings of the Third International Conference on Document Analysis and Recognition (Volume 2) - Volume 2
Integrated Algorithms for Newspaper Page Decomposition and Article Tracking
ICDAR '99 Proceedings of the Fifth International Conference on Document Analysis and Recognition
Robust table-form structure analysis based on box-driven reasoning
ICDAR '95 Proceedings of the Third International Conference on Document Analysis and Recognition (Volume 1) - Volume 1
A New Component Based Algorithm for Newspaper Layout Analysis
ICDAR '01 Proceedings of the Sixth International Conference on Document Analysis and Recognition
Newspaper Page Decomposition Using a Split and Merge Approach
ICDAR '01 Proceedings of the Sixth International Conference on Document Analysis and Recognition
First International Newspaper Segmentation Contest
ICDAR '01 Proceedings of the Sixth International Conference on Document Analysis and Recognition
Multiresolution cooperation makes easier document structure recognition
International Journal on Document Analysis and Recognition
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Rulings are graphical primitives that are essential for document structure recognition. However in the case of ancient documents, bad printing techniques or bad conditions of conservation induce problems for their efficient recognition. Consequently, usual line segment extractors are not powerful enough to properly extract all the rulings of a heterogeneous document. In this paper, we propose a new method for ruling recognition, based on perceptive vision: we show that combining several levels of vision improves ruling recognition. Thus, it is possible to put forward hypothesis on the nature of the rulings at a given resolution, and to confirm or infirm their presence and find their exact position at higher resolutions. We propose an original strategy of cooperation between resolutions and present tools to set up a correspondence between the elements extracted at each resolution. We validate this approach on images of ancient newspaper pages (dated between 1848 and 1944). We also propose to use the extracted rulings for the structure analysis of newspaper pages. We show that using more reliable extracted rulings simplifies and improves document structure recognition.