Classification of US Dollar Bill Money by Neuro-Pattern Recognition
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- Yokota Masakazu
- University of Tokushima
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- Kosaka Toshihisa
- Glory Inc.
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- Omatsu Sigeru
- University of Tokushima
Bibliographic Information
- Other Title
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- ニューロパターン認識による米ドル紙幣の識別
- ニューロパターン ニンシキ ニ ヨル ベイドル シヘイ ノ シキベツ
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Abstract
In this paper, we propose a bill money recognition method of US dollar using a neural network. US dollar is classified into one of seven categories like 1, 2, 5, 10, 20, 50, and $100 by processing human picture contained in the US dollar. Furthemore, we transform the US dollar data into frequency domain by FFT and use amplitudes of Fourier coefficients as input data of the neural network. Recognition rate and error probability for a checking data set consisting of US dollars different from the training data set are discussed for the proposed methods.
Journal
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- IEEJ Transactions on Electronics, Information and Systems
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IEEJ Transactions on Electronics, Information and Systems 115 (3), 361-366, 1995
The Institute of Electrical Engineers of Japan
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Keywords
Details 詳細情報について
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- CRID
- 1390282679585781120
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- NII Article ID
- 130006844629
- 10009790998
- 10001706942
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- NII Book ID
- AN10065950
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- ISSN
- 13488155
- 03854221
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- NDL BIB ID
- 3593148
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- Data Source
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- JaLC
- NDL
- Crossref
- CiNii Articles
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- Abstract License Flag
- Disallowed