The recognition of automobile license plates is the core of intelligent traffic information management system, and the key of recognition is the license plate segmentation from the complex image.
汽车牌照识别是智能交通信息管理系统的核心，从复杂的图像中分割出车牌又是牌照识别的关键。
The authors present a new method to remedy the negative effect arising from slant vehicle license plates character segmentation and recognition based on principal component analysis (PCA).
为解决机动车牌图像倾斜将对其字符分割与识别带来不利的影响，提出一种基于主元分析(PCA)的车牌图像倾斜校正新方法。
Automatic location of vehicle license plates is a difficult image segmentation problem. Neural network is a powerful tool for solving the problem.
汽车牌照定位是一个较难解决的图像分割问题，神经网络为此问题的解决提供了一个有力工具。
According to the areas of the license plates, complete a single character segmentation using the vertical projection that combined with prior knowledge of the license plate character segmentation.
根据分割出的车牌区域，采用一种垂直投影结合先验知识的车牌字符分割法，完成单个字符的分割。
The vehicle license plate segmentation is the basic step of the automatic recognition to the vehicle license plates.
车牌分割是汽车牌照自动识别的基础。
The vehicle license plate segmentation is the basic step of the automatic recognition to the vehicle license plates.
车牌分割是汽车牌照自动识别的基础。
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