Transportation and Traffic College, Jilin University, Nanling Campus, Changchun 130022, China.
Sensors (Basel). 2012;12(6):8355-70. doi: 10.3390/s120608355. Epub 2012 Jun 15.
This paper presents a solution for the license plate recognition problem in residential community administrations in China. License plate images are pre-processed through gradation, middle value filters and edge detection. In the license plate localization module the number of edge points, the length of license plate area and the number of each line of edge points are used for localization. In the recognition module, the paper applies a statistical character method combined with a structure character method to obtain the characters. In addition, more models and template library for the characters which have less difference between each other are built. A character classifier is designed and a fuzzy recognition method is proposed based on the fuzzy decision-making method. Experiments show that the recognition accuracy rate is up to 92%.
本文提出了一种适用于中国住宅小区管理的车牌识别解决方案。通过灰度化、中值滤波和边缘检测对车牌图像进行预处理。在车牌定位模块中，利用边缘点数量、车牌区域长度和每行边缘点数量进行定位。在识别模块中，应用了一种基于统计特征与结构特征相结合的字符识别方法。此外，还构建了字符之间差异较小的字符模型和模板库。设计了字符分类器，并提出了一种基于模糊决策方法的模糊识别方法。实验结果表明，识别准确率达到 92%。
