Journal
NEUROCOMPUTING
Volume 51, Issue -, Pages 487-493Publisher
ELSEVIER
DOI: 10.1016/S0925-2312(02)00727-0
Keywords
pattern recognition; pulse-coupled neural networks; discrete Fourier transform; multilayer; perceptron
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A novel method for pattern recognition using discrete Fourier transforms on the global pulse signal of a pulse-coupled neural network (PCNN) is presented in this paper. We describe the mathematical model of the PCNN and an original way of analyzing the pulse of the network in order to achieve scale- and translation-independent recognition for isolated objects. We also analyze the error as a result of rotation. The system is used for recognizing simple geometric shapes and letters. (C) 2003 Elsevier Science B.V. All rights reserved.
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