基于图像处理的硬币分类算法研究  

Research of Coin Classification Algorithm Based on Image Processing

作　　者：王满丽 何荣祖 马翠霞[3] 王宏安[3] 

机构地区：[1]北京建筑大学电气与信息工程学院,北京 [2]建筑大数据智能处理方法研究北京市重点实验室,北京 [3]中国科学院软件研究所,北京

出　　处：《图像与信号处理》2018年第4期227-235,共9页Journal of Image and Signal Processing

摘　　要：针对目前自动售卖机器的硬币交易中硬币识别系统成本过高的问题,本文提出了一种成本低且识别率高的硬币分类算法。该算法主要运用图像处理的几种常用方法来完成硬币的检测和识别。核心方法是利用极坐标的方式把圆形硬币的信息转化为二维数组的方式保存,再进行特征提取与特征比对,最终进行识别判定。该算法有效避免了硬币颜色、大小、图案和光照不同等各种因素的影响,经过大量实验验证,该算法的识别速率快且识别结果正确率稳定,因此有一定的实用研究价值。Currently, aiming at the problem that the cost of the coin identification system in the coin trading of the automatic selling machine is too high, this paper designs an algorithm with low cost and high recognition rate. The algorithm mainly takes several common methods of image processing to complete the detection and identification of coins. The core method is to save the information of the circular coin into a two-dimensional array by means of polar coordinates, and then perform feature extraction and feature comparison, and finally perform recognition and determination. The algorithm can effectively avoid the influence of various factors such as the color, size, pattern and illumination of the coin. After a large number of experiments, the correct rate of the algorithm is stable and recognition speed is high, so it has certain application value.

关 键 词：图像处理 硬币识别 极坐标 矩阵 

分 类 号：TP39[自动化与计算机技术—计算机应用技术]