车牌字符分割算法的研究比较  

Vehicle License Plate Character Segmentation Method Based on Mathematical Morphology and Fractal Geometry

作　　者：朱麟[1] ZHU Lin(Suzhou Industrial Park Institute of Service Outsoureing,Suzhou 215123,China)

机构地区：[1]苏州工业园区服务外包职业学院,苏州215123

出　　处：《内燃机与配件》2018年第22期231-233,共3页Internal Combustion Engine & Parts

基　　金：苏州工业园区服务外包职业学院网络资源课程项目;项目编号:zyk-050

摘　　要：本文提出了一种基于形态学和分形几何的车牌字符分割算法,首先采用差分盒维数算法估算车牌图像的分形维数并进行二值化处理,然后运用数学形态学方法突出车牌字符特征;最后结合先验知识对分割出的字符进行筛选,从而得到正确的车牌分割字符。该算法有效地提取了车牌字符信息,具有良好的分割效果。This paper puts forward a vehicle license plate character segmentation method based on mathematical morphology and fractal geometry. Firstly, it adapts the differential box-counting dimension to estimate the fractal dimension of license plate region, and make the regional characteristics of license plate outstanding combined with morphology. Secondly, it removes up-down-direction boundary of license plate image by using horizontal projection, and divides the image into single characters by using vertical projection. At last, it screens divided characters combined with the prior knowledge such as intrinsic characteristics of license plate, then get the correct divided characters. This algorithm extracts information of license plate characters effectively and has a good segmentation effect.

关 键 词：数学形态学 分形几何 字符分割 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]