Vehicle License Plate Character Segmentation

作     者：Mei-Sen Pan Jun-Biao Yan Zheng-Hong Xiao 

作者机构：Department of Computer Science and TechnologyHunan University of Arts and ScienceChangde 415000PRC School of Information Science and EngineeringCentral South UniversityChangsha 400083PRC 

出 版 物：《International Journal of Automation and computing》 (国际自动化与计算杂志(英文版))

年 卷 期：2008年第5卷第4期

页      面：425-432页

核心收录：

学科分类：08[工学] 0838[工学-公安技术] 

基　　金：Scientific Research Fund of Hunan Province,PRC (No.07JJ6141) Scientific Research Fund of Hunan Provincial Education Department,PRC (No.05C720) 

主　　题：Vehicle license plate (VLP) least square method (LSM) auxiliary lines character segmentation pixel. 

摘      要：Vehicle license plate (VLP) character segmentation is an important part of the vehicle license plate recognition system (VLPRS).This paper proposes a least square method (LSM) to treat horizontal tilt and vertical tilt in VLP *** lines are added into the image (or the tilt-corrected image) to make the separated parts of each Chinese character to be an interconnected *** noise regions will be eliminated after two fusing images are merged according to the minimum principle of gray values. Then,the characters are segmented by projection method (PM) and the final character images are *** experimental results show that this method features fast processing and good performance in segmentation.