车牌定位与字符分割的新方法  

A New Method of License Plate Location and Character Segmentation

作　　者：李培灵 王锋[1] LI Peiling;WANG Feng(College of Information Science and Engineering,He＇ nan University of Technology,Zhengzhou He＇ nan 450001,China)

机构地区：[1]河南工业大学信息科学与工程学院,河南郑州450001

出　　处：《计算机与网络》2018年第11期69-71,共3页Computer & Network

摘　　要：车牌定位与车牌字符分割是车牌识别系统中的2个关键技术,在车牌定位过程中,采用HSV颜色分割算法和投影法相结合的方法,对现有的算法进行了改进。在字符分割过程通过实验确定出最佳二值化阈值,对图像进行二值化处理,通过垂直投影实现字符的有效分割。实验结果表明,使用新方法,车牌识别率和识别的鲁棒性有显著提高。The license plate location and license plate character segmentation are two key technologies in the license plate recognition system. In the process of license plate location, this paper uses HSV color segmentation algorithm and projection method to combine and improve the existing color segmentation algorithm and projection algorithm. In the process of character segmentation, the best two thresholds are determined through experiments, and the two values of images are processed, and then the effective segmentation of characters is achieved through vertical projection. The experimental results show that the robustness of license plate recognition rate and recognition is greatly improved by using the new method.

关 键 词：车牌识别 车牌定位 霍夫变换 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]