Reinforcing the edge and features of the image can make it clear to human vision character or recognition for machine system.
为了提高图像的清晰度使之更适合于人的视觉特性或机器的识别，需要对图像的特征或边缘进行加强。
The character features that are unchanged by its rotating, parallel moving, size and its position transforming and corresponding recognition algorithm are got.
最后得到了不受字符旋转、平移、大小、位置影响的字符特征，以及相应的识别算法。
License plate character recognition is a main step in license plate recognition system, but its emphasis is to choose efficient features.
牌照字符识别是车牌识别系统中关键的一步，而字符识别的关键在于有效特征的选取。
The structure features are used to recognize characters in the character recognition.
在字符识别算法研究中，采用了结构法对字符进行识别。
The experimental results show that there are fewer extracted character features, faster recognition and higher degree of accuracy, and it is less affected by font size.
实验结果表明提取特征少，识别速度快，准确率高，受字号的影响较小。
The experimental results show that there are fewer extracted character features, faster recognition and higher degree of accuracy, and it is less affected by font size.
实验结果表明提取特征少，识别速度快，准确率高，受字号的影响较小。
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