Abstract
This paper describes an intelligent system for person identification with biometric measures such as signature, fingerprint and face. We describe the neural network architectures used to achieve person identification based on the biometrics measures. Simulation results show that the proposed method provides good recognition. Fuzzy integration of the three modules is tested on a single computer and also in a distributed environment.
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Serrano, M., Melin, P. (2009). A Modular Neural Network with Fuzzy Response Integration for Person Identification Using Biometric Measures. In: Castillo, O., Pedrycz, W., Kacprzyk, J. (eds) Evolutionary Design of Intelligent Systems in Modeling, Simulation and Control. Studies in Computational Intelligence, vol 257. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04514-1_9
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DOI: https://doi.org/10.1007/978-3-642-04514-1_9
Publisher Name: Springer, Berlin, Heidelberg
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