Abstract
This paper shows a text recognition system based on a Neural Network which is used as Isolated Character Classifier (ICC), and on a Deformed System that incorporates the contextual knowledge defined by a dictionary. The Neural Network provides for every input character a fuzzy character built up with the ouput unit values. The fuzzy characters are the inputs for the Deformed System which is defined as an automaton representing the dictionary and whose behaviour is fuzzily constrained by fuzzy inputs. Therefore the classification and contextual processes are computed together. Experimental results show good performance for the system.
This is a preview of subscription content, log in via an institution to check access.
Preview
Unable to display preview. Download preview PDF.
References
J. J. Hull, S.N. Srihari and R. Choudhari, “An Integrated Algorithm for Text Recognition: Comparison with a Cascaded Algorithm”, IEEE Trans. Pattern Analysis Mach. Intell., vol. PAMI-5, no. 4, pp. 384–395, 1983.
D. G. Elliman and I.T. Lancaster, “A Review of Segmentation and Contextual Analysis Techniques for Text Recognition”, Pattern Recognition, vol. 23, no. 3/4, pp. 337–346, 1990.
R. Shinghal and G.T. Toussaint, “Experiments in Text Recognition with the Modified Viterbi Algorithm”, IEEE Trans. Pattern Analysis Mach. Intell., vol. PAMI-1, no. 2, pp. 184–193, 1979.
G.M. Landau, “Fast string matching with k differences”, J. Comput. Syst. Sci., vol. 37, pp. 63–78, 1988.
R. Shinghal, “A Hybrid Algorithm for Contextual Text Recognition”, Pattern Recognition, vol. 16, no. 2, pp. 184–193, 1983.
C.V. Negoita, D.A. Ralescu, Application of Fuzzy Sets to System Analysis, Birkaeuser, Basilea 1975.
R. Reina, José R. González de Mendívil, José R. Garitagoitia, “Improved Character Recognition System based on a Neural Network incorporating the context via Fuzzy Automata” 2nd International Conference on Fuzzy Logic & Neural Networks, Izuka (Japan), July 17–22, 1992.
J. Echanove, R. Reina, J.R. Garitagoitia and J.R. González de Mendívil, “Deformed Systems in Text Recognition”, International Conference On Artificial Neural Networks., Sorrento (Italy), May 26–29, 1994.
T.M. Cover, P.E. Hart, “Nearest Neighbor Pattern Classification”, IEEE Transactions on Information Theory, IT-13, January 1967, 21–27.
R. O. Duda, P.E. Hart, “Pattern Classification and Scene Analysis”, Addison-Wesley, New York, 1973.
K.Fukushima, S. Miyake, T. Ito, “Neocognitron: A Neural network for a Mechanism of Visual Pattern Recognition” IEEE Trans. Sys. Man and Cyber., SMC-13, no. 5, pp. 826–834, 1983.
J. Hopcroft, J. Ullman, Introduction to Automata Theory, Languages and Computation, Addison-Wesley Publishing Company, Reading Massachusetts, 1979.
E. Vidal, F. Casacuberta, E. Sanchís, J. M. Benedí, “A General Fuzzy-Parsing Scheme for Speech Recognition”, NATO ASI series, vol. F16, pp. 427–446, 1985.
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 1995 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Echanobe, J., González de Mendívil, J.R., Garitagoitia, J.R. (1995). A text recognition system based on a Neural Network and on a Deformed System. In: Mira, J., Sandoval, F. (eds) From Natural to Artificial Neural Computation. IWANN 1995. Lecture Notes in Computer Science, vol 930. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-59497-3_267
Download citation
DOI: https://doi.org/10.1007/3-540-59497-3_267
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-59497-0
Online ISBN: 978-3-540-49288-7
eBook Packages: Springer Book Archive