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
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 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||