Artificial Neural Networks for Document Analysis and Recognition

Bibliography on Document Processing
[CWB95] F.R. Chen, L.D. Wilcox, and D.S. Bloomberg. A comparison of discrete and continuous hidden Markov models for phrase spotting in text images. In ICDAR 95, pages 398-402, 1995.
[DMR03] M. Diligenti, M. Maggini, and L. Rigutini. Learning siumilarities for text documents using neural networks. In M. Gori and S. Marinai, editors, Proc. 1st IAPR-TC3 Workshop ANNPR, pages 46-51. ISBN 88-7957-221-0, 2003.
[GKN96] J. Gonzalez, J. Kanai, and T.A. Nartker. Prediction of OCR accuracy using a neural network. In International workshop on Document Analysis Systems, pages 323-337, 1996.
[ILA95] D.J. Ittner, D.D. Lewis, and D.D. Ahn. Text categorization of low quality images. In Symposium on Document Analysis and Information Retrieval, pages 301-316, 1995.
[KHLK98] S. Kaski, T. Honkela, K. Lagus, and T. Kohonen. Websom self-organizing maps of document collections. Neurocomputing, 21(1-3):101-118, 1998.
[Mer98] D. Merkl. Text classification with self-organizing maps: some lessons learned. Neurocomputing, 21(1-3):61-78, 1998.
[ML97] G. Ménier and G. Lorette. Lexical analyzer based on a self-organizing feature map. In ICDAR 97, pages 1067-1071, 1997.
[O'N97] P. O'Neil. An incremental approach to text representation, categorization, and retrieval. In ICDAR 97, pages 714-717, 1997.
[SA00] J.M. Sopena and M. A. Alegre. ANNP: a neural network parser for real world texts. In ICPR 00, pages 969-972, 2000.


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