摘要
针对目前货币识别方案中存在的问题,提出了一种基于模块化描述特征的美元识别方案。首先对货币图像矩阵进行分块,在各个分块内,基于MEFFRA算法对货币图像进行局部特征提取,最后,采用模糊鉴别方法实现美元识别。仿真实验结果表明,其方案有较好的鲁棒性,在识别效果和识别时间等方面,也要优于传统的方法。
Aiming at the existing problems in the currency recognition,this paper proposes a USD recognition algorithm based on the modular Descriptive Feature.Firstly,the currency matrix is blocked,and then the local feature of the currency image is extracted in each block.Finally,the dollar is recognized by the fuzzy identification method.Simulation results show that the scheme is robust,and it is also better than the traditional methods in terms of the recognition effect and time.
出处
《微型电脑应用》
2015年第9期42-44,5,共3页
Microcomputer Applications
基金
郑州市科技局科技发展计划项目(20140663
121PYFZX177)
关键词
货币识别
模块化特征
分块
MEFFRA算法
模糊鉴别
Currency Recognition
Modular Descriptive Feature
Block
MEFFRA Algorithm
Fuzzy Identification
