摘要
提出了一种改进模板匹配的车牌字符识别方法。详细介绍了车牌字符识别的过程,主要包括模板的建立,基于弹性网格的字符特征提取,模板匹配的步骤及改进方法。运用该方法不仅可减少计算量,而且提高了实时性。实验结果表明,提出的方法具有效率高、精确度好等特点,识别率可以达到90%以上。
This paper presents an improved template matching method of license plate characters recognition. License plate characters recognition process is introduced in detail, which includes the establishment of the template, the character feature extraction based on an elastic mesh, template matching steps and improved methods. By using this method, the computational amount is greatly reduced, while real-time is improved. The experimental result shows that the proposed method has high efficiency, accuracy and good characteristics, and the recognition rate can reach 90%.
出处
《河北科技大学学报》
CAS
北大核心
2010年第3期236-239,共4页
Journal of Hebei University of Science and Technology
关键词
字符分割
车牌牌照
特征提取
字符识别
改进模板匹配法
characters segmentation
license vehicle plate
feature extraction
characters recognition
improved template matching method