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纸币清分图像识别算法研究
引用本文:段思迪.纸币清分图像识别算法研究[J].盐城工学院学报(自然科学版),2007,20(3):29-31.
作者姓名:段思迪
作者单位:同济大学,机械工程系,上海,201804
摘    要:针对国产纸币清分机在图像识别技术上,存在挑残能力弱和分类一致性差的缺点,提出了3种基于图像识别技术的算法。通过对采集的图像数据,采用五线找点算法对纸币大小进行判定纸币的面额;根据加权灰度值提取纸币图像的特征区域判正反;采用网格划分法统计背景点与纸币图像点的数量关系判定纸币的残缺率。

关 键 词:清分机  图像处理  灰度  纸币
文章编号:1671-5322(2007)03-0029-03
修稿时间:2007-06-15

Research on the methods of Paper Currency and Image Identification
DUAN Si-di.Research on the methods of Paper Currency and Image Identification[J].Journal of Yancheng Institute of Technology(Natural Science Edition),2007,20(3):29-31.
Authors:DUAN Si-di
Institution:Department of Mechanical Engineering, Tongji University, Shanghai 201804,China
Abstract:Concerning the shortages on Image Processing of the previous designs of Paper Currency Identification Instrument,such as poor at deformity seeking-out and classifying the rank and directions of new and used bills,a series of identifying methods are presented.By the collected database of images,use the Five-line Seeking-points method to analysis the size and determine the denomination;based on the characters of gray scale of images,take and analyze for judging the face and obverse;Moreover,the gridding method is taken to measure the relation between points on background and images for deformity seeking and the taint degree.
Keywords:bill sorting machine  image processing  gray scale  paper currency
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