Abstract
In this paper we describe a Modular Neural Network (MNN) with fuzzy integration for face, fingerprint and voice recognition. The proposed MNN architecture defined in this paper consists of three modules; face, fingerprint and voice. Each of the mentioned modules is divided again into three sub modules. The same information is used as input to train the sub modules. Once we have trained and tested the MNN modules, we proceed to integrate these modules with a fuzzy integrator. In this paper we demonstrate that using MNNs for face, fingerprint and voice recognition integrated with a fuzzy integrator is a good option to solve pattern recognition problems.
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Muñoz, R., Castillo, O., Melin, P. (2009). Face, Fingerprint and Voice Recognition with Modular Neural Networks and Fuzzy Integration. In: Melin, P., Kacprzyk, J., Pedrycz, W. (eds) Bio-inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition. Studies in Computational Intelligence, vol 256. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04516-5_4
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DOI: https://doi.org/10.1007/978-3-642-04516-5_4
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-04515-8
Online ISBN: 978-3-642-04516-5
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