| Presentation | 2007-12-14 Classification of Fatigue Bill with Independent Component Analysis Ryo UEHARA, Dongshik KANG, Hayao MIYAGI, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | 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. Highly accurate bill classification technique, which identifies the level of fatigue as well as distinguishes between the used and the new ones, is greatly requested in order to destroy these problematic bills. In recent years, Independent Component Analysis is drawing a special attraction as the technique of multivariate analysis to address the issue. The application of this approach to various fields is widely expected at the practical level because it opens the way of isolating the independent original signals from the overlapping observation data. The purpose of this paper is to present the method of discrimination of fatigue bills based on separating the new bills and the fatigue bills into the respective independent component. The effectiveness of this approach is demonstrated by the bill discriminant experimentation with the real acoustic data. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Sound of Bill / Independent Component Analysis / Classification of Fatigue Bill |
| Paper # | PRMU2007-148 |
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| Conference Information | |
| Committee | PRMU |
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| Conference Date | 2007/12/6(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Pattern Recognition and Media Understanding (PRMU) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Classification of Fatigue Bill with Independent Component Analysis |
| Sub Title (in English) | |
| Keyword(1) | Sound of Bill |
| Keyword(2) | Independent Component Analysis |
| Keyword(3) | Classification of Fatigue Bill |
| 1st Author's Name | Ryo UEHARA |
| 1st Author's Affiliation | Department of Information Engineering, Faculty of Engineering, Ryukyu University() |
| 2nd Author's Name | Dongshik KANG |
| 2nd Author's Affiliation | Department of Information Engineering, Faculty of Engineering, Ryukyu University |
| 3rd Author's Name | Hayao MIYAGI |
| 3rd Author's Affiliation | Department of Information Engineering, Faculty of Engineering, Ryukyu University |
| Date | 2007-12-14 |
| Paper # | PRMU2007-148 |
| Volume (vol) | vol.107 |
| Number (no) | 384 |
| Page | pp.pp.- |
| #Pages | 5 |
| Date of Issue | |