Abstract
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.
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Robert M. Haralick. Document Image Understanding: Geometric and Logical Layout. In IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pages 385–390, 1994.
A. Antonacopoulos B. Gatos, S.L. Mantzaris. First International Newspaper Segmentation Contest. In ICDAR’2001: Sixth International Conference on Document Analysis and Recognition, pages 1190–1194, Seattle, USA, September 2001.
B. Gatos, S. L. Mantzaris, K. V. Chandrios, A. Tsigris, and S. J. Perantonis. Integrated Algorithms for Newspaper Page Decomposition and Article Tracking. In ICDAR’99: Fifth International Conference on Document Analysis and Recognition, pages 559–562, Bangalore, India, September 1999.
Karim Hadjar, Oliver Hitz, and Rolf Ingold. Newspaper Page Decomposition Using a Split and Merge Approach. In ICDAR’2001: Sixth International Conference on Document Analysis and Recognition, pages 1186–1189, Seattle, USA, September 2001.
Pierre Heroux, Eric Trupin, and Yves Lecourtier. Modélisation et classification pour la rétroconversion des documents. In CIFED’2000: Colloque International Francophone sur l’Ecrit et le Document, pages 413–421, Lyon, France, jul 2000.
J. Hu, R. Kashi, D. Lopresti, G. Nagy, and G. Wilfong. Why Table Ground Truthing is Hard. In ICDAR’2001: Sixth International Conference on Document Analysis and Recognition, pages 129–133, Seattle, USA, September 2001.
Frédéric Bapst. Reconnaissance de documents assisté: architecture logicielle et intégration de savoir-faire. PhD thesis, University of Fribourg, 1998.
Oliver Hitz, Lyse Robadey, and Rolf Ingold. An Architecture for Editing Document Recognition Results Using XML. In DAS’2000: 4th International Workshop on Document Analysis Systems, pages 385–396, Rio de Janeiro, Brazil, December 2000.
Rolf Brugger, Abdelwahab Zramdini, and Rolf Ingold. Modeling Documents for Structure Recognition Using Generalized N-Grams. In ICDAR’97: Fourth International Conference on Document Analysis and Recognition, pages 56–61, Ulm, Germany, August 1997.
Abdelwahab Zramdini. Study of Optical Font Recognition Based on Global Typographical Features. PhD thesis, University of Fribourg, 1995.
Lyse Robadey. Une méthode de reconnaissance structurelle de documents complexes basée sur des patterns bidimensionnels. PhD thesis, University of Fribourg, 2001.
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© 2002 Springer-Verlag Berlin Heidelberg
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Hadjar, K., Hitz, O., Robadey, L., Ingold, R. (2002). Configuration REcognition Model for Complex Reverse Engineering Methods: 2(CREM) . In: Lopresti, D., Hu, J., Kashi, R. (eds) Document Analysis Systems V. DAS 2002. Lecture Notes in Computer Science, vol 2423. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45869-7_50
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DOI: https://doi.org/10.1007/3-540-45869-7_50
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