Abstract
We describe in this paper a new approach for features extraction methods with Type-1 and Type-2 for Pattern Recognition System based on the pixels mean. In this paper we consider pattern recognition with extraction features fuzzy logic for ensemble neural networks for the case of fingerprintsn and using response integration fuzzy logic method to the test proposed method of fuzzy extraction method. An ensemble neural network of three modules is used. Each module is a local expert on person recognition based on their biometric measure (Pattern recognition for fingerprints). The fuzzy extraction features method is based on the pixels mean of the fingerprint.
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Lopez, M., Melin, P., Castillo, O. (2010). Comparative Study of Feature Extraction Methods of Fuzzy Logic Type 1 and Type-2 for Pattern Recognition System Based on the Mean Pixels. In: Melin, P., Kacprzyk, J., Pedrycz, W. (eds) Soft Computing for Recognition Based on Biometrics. Studies in Computational Intelligence, vol 312. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15111-8_11
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