License Plate Recognition Based on Pulse Coupled Neural Networks and Template Matching

摘要：

　　License plate recognition(LPR)is an important part of the vehicle detection system,which plays a significant role in traffic management and has a variety of applications.This paper presents a license plate recognition method based on pulse coupled neural network(PCNN)and template matching.One PCNN is implemented to segment the gray image containing the License plate,and another PCNN is applied to extract the characters from the located plate.The method has some advantages when the image is polluted or photographed without enough illumination.After the plate characters are extracted,they are compared with the pre-defined template using template matching.Based on the similarity between the extracted characters and template characters,the license is recognized.Simulations have been presented for illustrative purposes.

关键词： License Plate Recognition Pulse Coupled Neural Network Template Matching

作者: WANG Xiao-hua YU Juan-juan MIAO Zhong-hua SONG Yang

作者单位: School of Mechatronic and Automation,Shanghai University,Shanghai 200072,P.R.China

会议类型: 国际会议

会议名称: The 33th Chinese Control Conference第33届中国控制会议

会议地点: 南京

会议语种:英文

页码: 5086-5090

在线出版日期: 2014-07-28（万方平台首次上网日期，不代表论文的发表时间）