New and used bills classification for cepstrum patterns

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...

Full description

Saved in:
Bibliographic Details
Main Authors: Teranishi, M., Omato, S., Kosaka, T.
Format: Conference Proceeding
Language:English
Subjects:
Banking
Cepstral analysis
Cepstrum
Educational institutions
Electronic mail
Fatigue
Feature extraction
Microphones
Neural networks
Signal generators
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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.
ISSN:1098-7576
1558-3902
DOI:10.1109/IJCNN.1999.830794