一种基于先验知识约束的车牌字符分割新算法

摘要

The license plate character segmentation is one of the three key technologies of the automatic license plate recognition system and the character segmentation is the foundation of the character recognition. The large amount of calculations and a long time for processing are the drawbacks of traditional character segmentation algorithm based on the connected domain character segmentation algorithm, so this paper presents an improved algorithm ,which makes full use of priori knowledge for character initial segmentation, and then realizes complete character segmentation based on the connected domain, meanwhile, this paper improves the traditional iteration binaryzation threshold algorithm by the priori, knowledge, reducing iteration times. The experimental results show that the character segmentation algorithm provided by this paper greatly cuts down the processing time and meets real time requirement under the premise of accurate extraction of license plate character.%车牌字符分割是车牌自动识别系统的三大核心技术之一,字符分割是字符识别的基础;针对传统的基于连通域分割字符算法计算量大、处理时间长的不足之处,在此提出了一种改进的算法,充分利用先验知识进行字符粗分割,在此基础上再利用连通域法最终实现字符完整分割,同时利用先验知识改进了传统的迭代法求二值化阈值算法,减少了迭代次数;实验表明：在此提出的字符分割算法在准确提取了车牌字符的前提下,大大缩短了处理时间,满足了实时性要求。