车牌定位是车牌自动识别系统中关键的第一步，传统的最大梯度差算法按图像像素矩阵的顺序进行扫描和运算，存在运算量大，耗时长的缺点。

The traditional MGD (maximum gradient difference) algorithm based on the order of the image pixels matrix has the shortcomings of the large operation measure and long-time running.

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这避免了后剪枝策略所需的高昂代价，减少了扫描磁盘数据的次数和大量的CPU时间，进一步提高了算法的效率。

This avoid high cost by using post-pruning measure which require many times for scanning disk data and amount of CPU time. So we gain a high efficiency.

youdao

这避免了后剪枝策略所需的高昂代价，减少了扫描磁盘数据的次数和大量的CPU时间，进一步提高了算法的效率。

This avoid high cost by using post-pruning measure which require many times for scanning disk data and amount of CPU time. So we gain a high efficiency.

youdao