Neural Network Recognition System Tuned by GA and Application of Foreign Paper Currencys

• Takeda Fumiaki

  GLORY LTD.

Bibliographic Information

Other Title

• GAによりチューニングされたニューロ識別システムとその海外紙幣への応用
• GA ニ ヨリ チューニングサレタ ニューロ シキベツ システム ト ソノ カ

Abstract

We have proposed a paper currency recognition system by a neural network (NN) to develop new type of paper currency recognition machines. This system is constructed by some core techniques. One is the small scale neuro-recognition technique using masks. The other is the mask optimization technique using genetic algorithm (GA). In this mask optimizing technique, I have shown the effectiveness of the adopting GA. Up to now, it has been shown that the NN recognition and learning system are enough as a design and developing method in the market. However, in case of the mask optimizing system, it has not been shown yet. In this paper, I and my group implement this mask optimizing system using GA from EWS to personal computer. Then I show its pragmatic effectiveness and generalization using Italy, France, and Spain currencys. Furthermore, I show the relationship between the least masked area and mask optimized condition by the simulation result. Finally, I also refer running method of this mask optimizing system to aim at using as design and developing tools.

Journal

• IEEJ Transactions on Electronics, Information and Systems

  IEEJ Transactions on Electronics, Information and Systems 118 (5), 773-780, 1998

  The Institute of Electrical Engineers of Japan

Keywords

• GA

Details

• CRID: 1390001204607408768
• NII Article ID: 130006843365
• NII Article ID: 10002813975
• NII Book ID: AN10065950
• DOI: 10.1541/ieejeiss1987.118.5_773
• ISSN: 13488155
• ISSN: 03854221
• NDL BIB ID: 4469924
• Web Site: https://ndlsearch.ndl.go.jp/books/R000000004-I4469924
• Web Site: https://www.jstage.jst.go.jp/article/ieejeiss1987/118/5/118_5_773/_pdf
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• Abstract License Flag: Disallowed