| 纸币号码识别技术研究 |
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| 引用本文： | 刘承香,阮双琛,胡学娟,黄贵明.纸币号码识别技术研究[J].激光与红外,2008,38(8):852-855. |
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| 作者姓名： | 刘承香 阮双琛 胡学娟 黄贵明 |
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| 作者单位： | 1. 深圳大学电子科学与技术学院,广东深圳,518060
2. 深圳大学电子科学与技术学院,广东深圳518060;深圳大学机械控制与自动化学院,广东深圳518060 |
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| 摘 要： | 研究了纸币号码识别技术.针对水平冠字号和垂直冠字号的特点,分别对号码数字图像进行了预处理、去噪、分割等处理,然后利用区域模板矩阵作为特征参数,进行模板匹配实现号码识别,并对一些易混淆的字符进行特殊区域信息比较.在实践中水平冠字号的识别率达98%,垂直冠字号的识别率达93%.
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| 关 键 词： | 号码识别 图像分割 模板匹配 纸币 |
Study on Recognition Technology of Paper Currency Number |
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| LIU Cheng-xiang,RUAN Shuang-chen,HU Xue-juan,HUANG Gui-ming.Study on Recognition Technology of Paper Currency Number[J].Laser & Infrared,2008,38(8):852-855. |
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| Authors: | LIU Cheng-xiang RUAN Shuang-chen HU Xue-juan HUANG Gui-ming |
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| Affiliation: | College of Electronic Science and Technology,Shenzhen University,Shenzhen 518060,China;College of Mechatronics and Control Engineering,Shenzhen University,Shenzhen 518060,China |
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| Abstract: | Recognition technology of paper currency number was studied.For the different characters between horizontal number and vertical number,we used different algorithms of preprocessing,denosing,and segmentation etc.Then used a regional template matrix as features to recoginise the number.For some easily confused letters,we distinguished them by using the information in some special regionals.In practice,the recognition rate of horizontal number is up to 98%,the recognition rate of vertical number is up to 93%. |
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| Keywords: | recoginition number image segmentation template matching paper currency |
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