在车辆牌照识别系统中，牌照的定位是最为关键的环节。
在智能交通等领域，各种车辆牌照识别系统已逐步得到应用。
In the domains of intelligence traffic, various vehicle number plate systems have been used step by step.
本文主要对车辆牌照识别系统中的车牌定位与字符分割技术进行研究。
This paper has studied on license plate localization and character segmentation in LPR system.
车辆牌照识别系统目前得到了广泛的应用，对交通智能管理具有重要的意义。
Vehicle License Plate Recognition (VLPR) system has been widely used, which is important to the Intelligent Transportation Management system (ITMS).
基于粗集（RS）理论和神经网络的车辆牌照识别系统由车牌定位和字符识别两部分组成。
Recognition system of license plate based on rough set and neural network is consists of 2 parts for orientation and character recognition of license plate.
从目前的研究成果来看，车辆牌照识别系统还远未达到完善的程度，利用各种图像处理的新理论和新方法仍是当前研究的热点之一。
Current technique of license plate recognition is far away from perfect. Using new theory and new technology to reform license plate recognition technique is one of the research keys.
车牌图像分割是车辆牌照自动识别系统的关键部分。
Number plate extraction is the key component of automatic vehicle license recognition system.
车辆牌照自动识别系统是近几年国内外模式识别应用研究领域的一个热点。
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.
汽车牌照自动识别系统的核心技术主要包括车辆定位、字符分割和车牌字符识别。
The kernel technique of the license plate Auto recognition System is mainly composed of license plate locating, character segmentation and character recognition.
汽车牌照自动识别系统的核心技术主要包括车辆定位、字符分割和车牌字符识别。
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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