文件名称:4
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- 人工智能/神经网络/遗传算法
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- [PDF]
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- 2012-11-26
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- 192kb
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：本文较为系统地介绍了纸币面值数字图象识别的计算机仿真。文中详细介绍了模版
匹配、特征点匹配、神经网络等字符识别方法，并进行了比较。根据本文研究对象的特点，选择
了从分析数字本身的拓扑结构入手，根据字符投影分布的规律来判断和识别的方法，成功实现
了纸币面值的识别。-: This article notes a more systematic introduction to digital image recognition, face value of the computer simulation. Described in detail template matching, feature matching, neural network character recognition method and compared. According to this study the characteristics of the object, select the number from the analysis of the topology of their start, the law of distribution according to the character projection to determine and identify the method successfully identified the nominal value of paper money.
匹配、特征点匹配、神经网络等字符识别方法，并进行了比较。根据本文研究对象的特点，选择
了从分析数字本身的拓扑结构入手，根据字符投影分布的规律来判断和识别的方法，成功实现
了纸币面值的识别。-: This article notes a more systematic introduction to digital image recognition, face value of the computer simulation. Described in detail template matching, feature matching, neural network character recognition method and compared. According to this study the characteristics of the object, select the number from the analysis of the topology of their start, the law of distribution according to the character projection to determine and identify the method successfully identified the nominal value of paper money.
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基于货币特征的模式识别方法研究.pdf