本文提出了一种快速的基于改进SCW的道路标志牌字符定位算法。首先采用改进的自适应图像分割方法SCW对输入图像进行分割，然后对所得二值图像进行连通区域分析，获得斑块信息。最后根据一系列判决标准得出道路标志牌上字符的最终位置。实验结果显示该算法具有很强的准确性和鲁棒性。

A fast and robustApproach for the detection of text on road signs based on improved SCW (sliding concentric windows) is proposed in this paper. The algorithm mainly contains three stages. We first convert the input image to a binary image using improved SCW then we obtain the blob information using CCA (connected componentanalysis), and at last we achieve the final text location on road signs by a number of judging criterions. Experimental results demonstrate the great robustness and efficiency of our method.