Abstract
This paper proposes a new method to classify bills into different fatigue levels. Acoustic cepstrum patterns obtained from an acoustic signal generated by a bill passing through a banking machine are used for classification. The acoustic cepstrum patterns are fed to a competitive neural network with the learning vector quantization (LVQ) algorithm, and classified the bill into three fatigue levels. The experimental results show that the proposed method is useful for classification of fatigue levels of bills, and the LVQ algorithm performs a good classification.
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