Multiple kinds of paper currency recognition using neural network and application for euro currency

被引：24

作者：

Takeda, F ^{[1
]}

Nishikage, T ^{[1
]}

机构：

[1] Kochi Univ Technol, Dept Informat Syst Engn, Tosayamada, Kochi 7828502, Japan

来源：

IJCNN 2000: PROCEEDINGS OF THE IEEE-INNS-ENNS INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOL II | 2000年

关键词：

D O I：

10.1109/IJCNN.2000.857888

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Up until now, we have developed banking machines for various kinds of paper currency using neural networks (NNs). In this paper, we report an enhanced neuro-recognition system to increase the more number of recognition patterns using axis-symmetrical mask and two image sensors. One sensor's purpose is discrimination for a known image and another one is exclusion for an unknown image. Concretely, we implement the proposed method to an experimental system, which has two sensors. And they are arranged on the up side and down side of the aisle, respectively. Finally, we apply this proposed method to Euro currency, which will be delivered in 2002 year, using its dummy. The effectiveness of the proposed method is shown, numerically.

引用

页码：143 / 147

页数：5

共 11 条

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