• 车牌分割汽车牌照自动识别基础

    The vehicle license plate segmentation is the basic step of the automatic recognition to the vehicle license plates.

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  • 汽车牌照自动识别技术牌照快速搜索问题进行研究

    Studied on the quick search used in automobile license plate automatic recognition.

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  • 车辆牌照自动识别系统近几年国内外模式识别应用研究领域一个热点。

    Based on the technology of recognizing images and characters, the vehicle license plate recognition system is one of the focused researches on application of pattern recognition.

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  • 综合这些算法结合字符识别核心,实现了一个完整的牌照自动识别系统。

    Using these algorithms and a character recognition kernel, an automatic vehicle license recognition system was finished.

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  • 汽车牌照自动识别系统核心技术主要包括车辆定位字符分割车牌字符识别

    The kernel technique of the license plate Auto recognition System is mainly composed of license plate locating, character segmentation and character recognition.

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  • 汽车牌照自动识别技术(LPR智能交通系统ITS中的基本内容之一

    The Vehicle License Plate Recognition System (LPR) is one of the basic contents of the Intelligent Transport System(ITS).

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  • 基于数字图像处理模式识别技术汽车牌照自动识别技术汽车牌照识别系统关键技术。

    Automatic license plate recognition based on the technology of digital image processing and pattern recognition is the key technology of automatic license plate recognition system.

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  • 汽车牌照定位汽车牌照自动识别系统第一环节定位准确与否对系统关键性作用

    The location of the vehicle license plate is the first step in the automotive vehicle license plate recognition system and the accuracy of locating plays an important role in this system.

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  • 课题汽车牌照自动识别系统一部分,建立一个完全软件来实现的汽车牌照字符识别系统。

    This topic is a part of license plate recognition system, has established one completely the license plate character recognition system which realizes by the software.

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  • 实验证明算法实现车牌字符识别系统识别误识,可直接用于实际牌照自动识别系统。

    The experiment proves that the LPR system based on this algorithm shows a higher recognition rate and lower error recognition rate, and can find a direct application in practical LPR system.

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  • 实验证明算法实现车牌字符识别系统识别误识,可直接用于实际牌照自动识别系统。

    The experiment proves that the LPR system based on this algorithm shows a higher recognition rate and lower error recognition rate, and can find a direct application in practical LPR system.

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