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针对实际项目采用了webservice进行搭建分布应用及多线程进行分布式并行开发应用。本项目主要针对图象学的图象处理对已存在的图象进行数字识别，本项目还利用BP神经网络（人工智能）技术进行识别应用，本项目采用OCR、体征、BP三种识别方法进行有效识别，识别效率达到98 -100 ，运行效率95ms/56ms/0.9ms。-Webservice used for the actual project to build distributed applications and multi-threaded parallel development of distributed applications. The program is focused on image science image processing of already existing digital image recognition, the project also uses BP neural network (artificial intelligence) technology to identify applications, this project uses OCR, signs, BP three kinds of identification methods effective identification, identification efficiency of 98 -100 , operational efficiency 95ms/56ms/0.9ms.
相关搜索： ocr neural network ocr csharp Csharp 多线程 数字识别 识别 csharp ocr BP 神经网络

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代码/BS应用客户端/COEStudio/About.aspx
代码/BS应用客户端/COEStudio/About.aspx.cs
代码/BS应用客户端/COEStudio/App_Data
代码/BS应用客户端/COEStudio/App_WebReferences/localhost/DrawingService.disco
代码/BS应用客户端/COEStudio/App_WebReferences/localhost/DrawingService.discomap
代码/BS应用客户端/COEStudio/App_WebReferences/localhost/DrawingService.wsdl
代码/BS应用客户端/COEStudio/App_WebReferences/localhost/Service.disco
代码/BS应用客户端/COEStudio/App_WebReferences/localhost/Service.discomap
代码/BS应用客户端/COEStudio/App_WebReferences/localhost/Service.wsdl
代码/BS应用客户端/COEStudio/App_WebReferences/localhost
代码/BS应用客户端/COEStudio/App_WebReferences
代码/BS应用客户端/COEStudio/Bin/ClassLibrary1.dll
代码/BS应用客户端/COEStudio/Bin/ClassLibrary1.dll.refresh
代码/BS应用客户端/COEStudio/Bin
代码/BS应用客户端/COEStudio/BPreco.aspx
代码/BS应用客户端/COEStudio/BPreco.aspx.cs
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代码/BS应用客户端/COEStudio/cache/1836659734graybinaryzationsharpenfilt

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