重庆工商大学学报：自然科学版2012，Vol.29Issue(8)：42-46,5.
一种基于先验知识约束的车牌字符分割新算法
A New License Plate Character Segmentation Algorithm Based on Priori Knowledge Constraints
摘要
Abstract
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.关键词
字符分隔/二值化/连通域/先验知识Key words
character segmentation/binaryzation/connected domain/priori knowledge分类
计算机与自动化引用本文复制引用
方兴林,方云楼..一种基于先验知识约束的车牌字符分割新算法[J].重庆工商大学学报：自然科学版,2012,29(8):42-46,5.基金项目
黄山学院校级科学研究项目（2012xkj004）. （）
