该算法适用于不同的字符大小、字符倾斜、污损等情况，抗噪声能力强。
It is proved that this algorithm can be used to recognize varisized characters with high tolerance to distortion and blur, and its character recognition accuracy is above 94%.
整个识别过程包括字符定位、图像增强、字符倾斜校正、单个字符分割、归一化处理和特征选择与提取。
The aim of image pre-processing and feature extracting is to get feature vectors from tire-code characters.
通过车牌定位、车牌倾斜校正、字符切分和字符识别四个步骤完成了汽车牌照的识别，介绍了每一步骤的关键技术和实验结果。
License plate recognition includes four steps, that is, license plate orientation, license plate lean revise, character segmentation and character recognition. It introduces the above four steps.
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