Abstract
We describe in this paper a new approach for pattern recognition using modular neural networks with a fuzzy logic method for response integration. We proposed a new architecture for modular neural networks for achieving pattern recognition in the particular case of human faces and fingerprints. Also, the method for achieving response integration is based on the fuzzy Sugeno integral with some modifications. Response integration is required to combine the outputs of all the modules in the modular network. We have applied the new approach for fingerprint and face recognition with a real database from students of our institution.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
S. Albrecht. (1996), A Modular Neural Network Architecture with Additional Generalization Abilities for High Dimensional Input Vectors.
E.J.W. Boers and H. Kuiper. (1992), “Biological Metaphors and the Design of Modular Artificial Neural Networks”. Departments of Computer Science and Experimental and Theoretical Psychology at Leid University, the Netherlands.
O. Castillo and P. Melin. (2003), “Soft Computing and Fractal Theory for Intelligent Manufacturing”. Springer-Verlag, Heidelberg, Germany.
H-C. Fu, Y-P. Lee, C-C Chiang and H-T. Pao. (2001), “Divide-and- Conquer Learning and Modular Perceptron Networks”, IEEE Transaction. Neural Networks, vol. 12, pp 250–263.
L. K. Hansen and P. Salomon. (1990), “Neural Network Ensembles”, IEEE Transactions on Pattern Analysis and Machine Intelligence. Neural Networks, vol 12, pp 993–1001.
B. Lu and M. Ito. (1998), “Task Decomposition and module combination based on class relations: modular neural network for pattern classification”, Technical Report, Nagoya Japan.
R. Murray-Smith and T.A. Johansen. (1997), Multiple Model Approaches to Modeling and Control. Taylor and Francis.
A. Quezada (2004), “Reconocimiento de Huellas Digitales Utilizando Redes Neuronales Modulares y Algoritmos Geneticos”. Thesis of Computer Science, Tijuana Institute of Technology.
E. Ronco and P. Gawthrop. (1995), “Modular neural networks: A State of the Art. Technical Report”, Center for System and Control. University of Glasgow, Glasgow, UK.
A.J.C. Sharkey. (1998), “Combining Artificial Neural Nets: Ensemble and Modular Multi-Nets Systems”, Ed. Springer-Verlag, New York.
M. Sugeno. (1974), “Theory of fuzzy integrals and its application”, Doctoral Thesis, Tokyo Institute of Technology.
R.R. Yager. (1999), “Criteria Aggregations Functions Using Fuzzy Measures and the Choquet Integral”, International Journal of Fuzzy Systems, Vol. 1, No. 2.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2007 Springer
About this chapter
Cite this chapter
Melin, P., Gonzalez, C., Bravo, D., Gonzalez, F., Martinez, G. (2007). Modular Neural Networks and Fuzzy Sugeno Integral for Pattern Recognition: The Case of Human Face and Fingerprint. In: Castillo, O., Melin, P., Kacprzyk, J., Pedrycz, W. (eds) Hybrid Intelligent Systems. Studies in Fuzziness and Soft Computing, vol 208. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-37421-3_20
Download citation
DOI: https://doi.org/10.1007/978-3-540-37421-3_20
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-37419-0
Online ISBN: 978-3-540-37421-3
eBook Packages: EngineeringEngineering (R0)