ニューラルネットワークによる音響ケプストラムを用いた紙幣の新旧識別

DOI Web Site Web Site 被引用文献1件 参考文献6件

書誌事項

タイトル別名
  • Classification of New and Used Bills Using Acoustic Cepstrum of a Banking Machine by Neural Networks
  • ニューラル ネットワーク ニ ヨル オンキョウ ケプストラム オ モチイタ シヘイ ノ シンキュウ シキベツ

この論文をさがす

抄録

This paper proposes a method to classify new and used bills using the acoustic cepstrum pattern by neural networks. The proposed method deals with an acoustic signal which has been generated by the bill passing through a banking machine. By using an acoustic cepstrum pattern, the rough structure of the acoustic spectrum can be represented as the cepstrum with a smaller pattern size than the spectrum. The proposed method employs a neural network as the classifier. Two different types of the neural network, one is the three layered perceptron and the other is the competitive neural network, are used to evaluate which type is more suitable for classification of the cepstrum pattern. The experimental results show the effectiveness of the proposed method, and that the competitive neural network yields better classification performance than the three-layered perceptron.

収録刊行物

被引用文献 (1)*注記

もっと見る

参考文献 (6)*注記

もっと見る

キーワード

詳細情報 詳細情報について

問題の指摘

ページトップへ