| In this paper, we mainly discuss the vehicle picture exploring under complex scenes and vehicle license plate locating in the vehicle license plate recognition(LPR).As a comprehensive computer vision system, the vehicle license plate recognition(LPR) can detect automobile picture and recognize the Character in the plate automatic. More and more people are attaching importance to LPR technology. But in the real and complicated situation, because of being influenced by the factors, such as light, weather, speed of vehicle, picture background etc, LPR is limited in the accuracy and recognizing speed, it restricts LPR technology to put into practice in a large scale.In our country, most research of LPR is stay in the process of experimentation, and have some work must be done to be put into practice. This thesis go through it from lots of experimentation and base on reality. The work I did include:1,I do the research from the source of LPR which is to detect and catch automobile picture in high quality. Through lots of examination and data collection in real situation, we brought forward the standard of LPR picture, it included vehicle license plate size, location, definition etc. Also we made a set of proposal that ensuring we can catch automobile picture according with the LPR standard by the choice of picture exploring device and device deploy in the real situation.2,We do research in preprocessing vehicle pictures which include images grey, media filtering, edge detection that aim to the complicate situation and variational background.3,This thesis we discuss vehicle license plate locating technology, propose a method that use simulant line scans the image to locate the area of vehicle license。A great deal of experiments are done to contrast the methods presented in the thesis with former ones from documents, and the results show that we can get clearly and effective image, and give prominence to the correction ratio. |