Classification of Fatigue Bill Based on Support Vector Machine by Using Acoustic Signal

Autor:	Dongshik Kang, Masanobu Fujita, Masaki Higa, Nobuo Shoji, Ikugo Mitsui
Rok vydání:	2009
Předmět:	Support vector machine ComputingMethodologies_PATTERNRECOGNITION Computer science business.industry Speech recognition Classification methods Pattern recognition Artificial intelligence business Signal
Zdroj:	Distributed Computing, Artificial Intelligence, Bioinformatics, Soft Computing, and Ambient Assisted Living ISBN: 9783642024801 IWANN (2)
DOI:	10.1007/978-3-642-02481-8_86
Popis:	The bills in circulation generate a large amount of fatigue bills every year, causing various types of problems such as the paper jam in automatic tellers due to overworked and exhausted ones. An advanced technique is requested in order to classify the levels of fatigue as well as distinguish between the used and the new ones. Therefore, the purpose of this paper is to present the classification method of fatigue bills based on support vector machine(SVM) by using acoustic signals. The effectiveness of this approach is demonstrated by the bill identify experimentation based on the real acoustic signal.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::26569e767e42b0a0bfa794ecd496a051 https://doi.org/10.1007/978-3-642-02481-8_86 Zobrazit plný text záznamu