Neural Pattern Recognition System Invariant to Rotation of Input Pattern and Its Application to Coin Recognition
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- FUKUMI Minoru
- Faculty of Engineering, University of Tokushima
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- OMATU Sigeru
- Faculty of Engineering, University of Tokushima
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- TAKEDA Fumiaki
- GLORY Ltd
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- KOSAKA Toshihisa
- GLORY Ltd
Bibliographic Information
- Other Title
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- パターンの回転に対して不変なニューラルパターン認識システムとそのコイン認識への応用
- パターン ノ カイテン ニ タイシテ フヘン ナ パターン ニンシキ システム
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Description
We have already presented a pattern recognition system insensitive to translation and rotation by 90° using neural networks. In this paper, we propose a pattern recognition system invariant to rotation of input pattern by any number of degrees. The system consists of a fixed invariance net with many slabs and a trainable multi-layered network. To illustrate the effectiveness of the system, we apply it to a variable rotation coin recognition problem between 500 yen and 500 won coins.
Journal
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- Transactions of the Institute of Systems, Control and Information Engineers
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Transactions of the Institute of Systems, Control and Information Engineers 5 (1), 9-17, 1992
THE INSTITUTE OF SYSTEMS, CONTROL AND INFORMATION ENGINEERS (ISCIE)
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Keywords
Details 詳細情報について
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- CRID
- 1390001205165867008
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- NII Article ID
- 10007399047
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- NII Book ID
- AN1013280X
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- ISSN
- 2185811X
- 13425668
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- NDL BIB ID
- 3751776
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- Data Source
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- JaLC
- NDL Search
- Crossref
- CiNii Articles
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- Abstract License Flag
- Disallowed
