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Image processing passing vehicle count based on VC
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Application background & nbsp; & nbsp; & nbsp; from the sixties of the 20th century, with the popularity of the highway development and automotive, transportation problem increasingly serious, the use of high technology to achieve optimal management is to adapt to modernization development in an important way, so intelligent transportation system (ITS) should be transported and. vehicle detection and counting is the basis of video based traffic surveillance system.. It provides direct data for the establishment of intelligent transportation system.. The vehicle detection algorithm includes four parts: segmentation of moving target, target recognition, target tracking and behavior understanding. Key Technology this code is the VC6 platform using MFC to build software architecture, link the OpenCV1.0 library, to achieve the track and count of the past vehicles on the three lane. In this paper, the background
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Numeric CAPTCHA recognition
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The algorithm uses the C # language, to achieve a level of digital code for identification. Firstly Denoising () function for pictures pretreated to remove impurities, use to_str () function on the picture to split and converted to a string, use shibie_single () are identified for each string, the red stitching each recognition result to get the final result.
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