周波数スペクトルの差分特徴量を用いた疲弊紙幣の識別

カテゴリ: 論文誌(論文単位)

グループ名: 【C】電子・情報・システム部門

発行日: 2015/06/01

タイトル(英語): Improvement of Fatigued Bills Classification by using the Frequency Spectral Difference

著者名: 姜　東植（琉球大学情報工学科），三井　郁吾（日本金銭機械（株）），少路　進雄（日本金銭機械（株））

著者名(英語): Dongshik Kang (Department of Information Eng., University or the Ryukyus), Ikugo Mitsui (Japan Cash Machine Co., Ltd.), Nobuo Shoji (Japan Cash Machine Co., Ltd.)

キーワード: 差分特徴，音響信号，紙幣識別，サポートベクターマシン　　Difference feature，Acoustic signals，Banknote classification，SVM

要約(英語): In Japan, ATMs or vending machines with a banknote handling device are widely used. The fatigued banknotes is the main reason of paper jam problems in those machines. Therefore a technique has demanded in order to distinguish fatigued banknotes more efficiently. In this paper, we propose a method to solve this problem by extracting the features of fatigued bills that is not depend greatly on the classifier. The method which extract the feature quantity of the frequency spectral difference from acoustic signals of banknotes. This feature quantity is possible to cope with time-series change of the acoustic signal by the fatigued degree of banknotes. And the discrimination experiments of fatigued banknotes were performed by Support Vector Machine(SVM) with the frequency spectral difference as input. The results showed that this feature quantity is effective to classify the fatigued banknotes.

本誌: 電気学会論文誌C（電子・情報・システム部門誌） Vol.135 No.6 （2015） 特集：データからの知識発見とその応用

本誌掲載ページ: 589-593 p

原稿種別: 論文／日本語

電子版へのリンク: https://www.jstage.jst.go.jp/article/ieejeiss/135/6/135_589/_article/-char/ja/