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一种BP神经网络纸币图像识别方法的研究
引用本文:吕新,郑士富. 一种BP神经网络纸币图像识别方法的研究[J]. 山西建筑, 2014, 40(30): 286-287
作者姓名:吕新  郑士富
作者单位:大连交通大学电气信息学院,辽宁大连,116028
摘    要:介绍了BP神经网络的结构特点与原理,基于此种方法,对几种纸币的面额与方向进行了识别,其中权值的修改算法采用LM算法,并对算法的基本思路作了阐述,识别仿真结果表明,BP神经网络具有较高的准确性。

关 键 词:BP神经网络  纸币  图像识别

Research on a BP neural network image recognition method of banknote
LV Xin , ZHENG Shi-fu. Research on a BP neural network image recognition method of banknote[J]. Shanxi Architecture, 2014, 40(30): 286-287
Authors:LV Xin    ZHENG Shi-fu
Affiliation:( School of Electrical Information, Dalian Jiaotong University, Dalian 116028, China )
Abstract:The paper introduces the structural features and principles of BP neural network, undertakes the recognition of denomination and orien- tation of some currencies, adopts the LM calculation method in the modification method of weight value, illustrates the basic idea of the calculation method and proves by the recognition simulation that BP neural network has higher accuracy.
Keywords:BP neural network   currency   image recognition
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