【摘要】 提出了一种改进的模板匹配方法 .该方法是在传统的模板匹配方法的基础上 ,通过对字符特征区域的扩大和加强注意设计了一种改进的模板 ,以达到更有效的匹配结果 .将该方法应用于沪宁高速公路收费口处实拍的车牌图像库中 ,其平均识别率达到 97.1% .实验结果表明本文所提出的改进的模板匹配方法具有较高的识别率和鲁棒性更多还原

【Abstract】 In this paper, a modified templet matching method is proposed. Based on traditional templet matching method, the modified templet is desighed to achieve a more effective result by extending and strengthening the feature region of the characters. This method is applied to recognize characters in car license plate database of Hu-ning highway and the recognition rate is 97.1%. Experimental results show that the modified templet matching method has higher recognition rate and robustness.更多还原