License Plate Recognition Based On Mathematical Morphology Method and RBF Neural Network

摘要：

License plate recognition is one of the core technologies in intelligent traffic control. There are broad application prospects in intelligent car park management, highway automatic toll collection and violation detection. This technology combines computer technology, image processing, pattern recognition and many other disciplines, which is an important research topic in the transport sector in recent years. In this paper, the license plate location method is based on mathematical morphology method and a modified RBF neural network algorithm to complete the identification. There is a good recognition result through MATLAB simulation experiments.

关键词： component neural network mathematical morphology method license plate recognition

作者: Song Qing-kun Yuan Hui-jun Zhou Teng

作者单位: School of Automation Harbin University Of Science And Technology Harbin, China

会议类型: 国际会议

会议名称: 2012 International Conference on Measurement,Information and Control(2012测量、信息与控制国际会议 ICMIC2012)

会议地点: 哈尔滨

会议语种:英文

页码: 782-786

在线出版日期: 2012-05-18（万方平台首次上网日期，不代表论文的发表时间）