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Eighth International Conference on Document Analysis and Recognition (ICDAR'05)
Logical Labeling of Arabic Newspapers using Artificial Neural Nets
Seoul, Korea
August 31-September 01
ISBN: 0-7695-2420-6
Karim Hadjar, DIUF, University of Fribourg, Switzerland
Rolf Ingold, DIUF, University of Fribourg, Switzerland
Logical structure analysis is an important phase in the process of document image understanding. In this paper we propose a learning-based method to label logical components on Arabic newspaper documents. The labeling is driven by artificial neural nets. Each one is specialized in a document class. The first prototype of LUNET has been tested on a set of Arabic newspapers of three document classes. Some promising experimental results are reported.
Citation:
Karim Hadjar, Rolf Ingold, "Logical Labeling of Arabic Newspapers using Artificial Neural Nets," icdar, pp.426-431, Eighth International Conference on Document Analysis and Recognition (ICDAR'05), 2005
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