Modeling Documents for Structure Recognition Using Generalized N-Grams

Ulm, GERMANY August 18-August 20

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http://doi.ieeecomputersociety.org/10.1109/ICDAR.1997.619813

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	Rolf Brugger, Abdelwahab Zramdini, Rolf Ingold, "Modeling Documents for Structure Recognition Using Generalized N-Grams," Document Analysis and Recognition, International Conference on, pp. 56, Fourth International Conference Document Analysis and Recognition (ICDAR'97), 1997.

	BibTex	x
	@article{ 10.1109/ICDAR.1997.619813, author = {Rolf Brugger and Abdelwahab Zramdini and Rolf Ingold}, title = {Modeling Documents for Structure Recognition Using Generalized N-Grams}, journal ={Document Analysis and Recognition, International Conference on}, volume = {0}, year = {1997}, isbn = {0-8186-7898-4}, pages = {56}, doi = {http://doi.ieeecomputersociety.org/10.1109/ICDAR.1997.619813}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Document Analysis and Recognition, International Conference on TI - Modeling Documents for Structure Recognition Using Generalized N-Grams SN - 0-8186-7898-4 SP EP A1 - Rolf Brugger, A1 - Abdelwahab Zramdini, A1 - Rolf Ingold, PY - 1997 VL - 0 JA - Document Analysis and Recognition, International Conference on ER -

Rolf Brugger, University of Fribourg

Abdelwahab Zramdini, University of Fribourg

Rolf Ingold, University of Fribourg

In this paper we present and discuss a novel approach to modeling logical structures of documents, based on a statistical representation of patterns in a document class. An efficient and error tolerant recognition heuristics adapted to the model is proposed. The statistical approach permits easily automated and incremental learning of the model. The approach has been partially evaluated on a prototype. A discussion of the results achieved by the prototype is finally made.

Citation:

Rolf Brugger, Abdelwahab Zramdini, Rolf Ingold, "Modeling Documents for Structure Recognition Using Generalized N-Grams," icdar, pp.56, Fourth International Conference Document Analysis and Recognition (ICDAR'97), 1997

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