Modeling Documents for Structure Recognition Using Generalized N-Grams
ICDAR '97 Proceedings of the 4th International Conference on Document Analysis and Recognition
Integrated Algorithms for Newspaper Page Decomposition and Article Tracking
ICDAR '99 Proceedings of the Fifth 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
Why Table Ground-Truthing is Hard
ICDAR '01 Proceedings of the Sixth International Conference on Document Analysis and Recognition
Arabic Newspaper Page Segmentation
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 2
Logical Labeling of Arabic Newspapers using Artificial Neural Nets
ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
XCDF: a canonical and structured document format
DAS'06 Proceedings of the 7th international conference on Document Analysis Systems
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This paper describes 2(CREM), a recognition method to be applied on documents with complex structures allowing incremental learning in an interactive environment. The classification is driven by a model, which contains a static as well as a dynamic part and evolves by use. The first prototype of 2(CREM) has been tested on four different phases of newspaper image analysis: line segment recognition, frame recognition, line merging into blocks, and logical labeling. Some promising experimental results are reported.