Published Paper Details:

Vehicle number plate recognition is that the foremost exhilarating and challenging research topic from past few years. Number plates are of various shapes, size and even have different color in different countries. In India the foremost common vehicle number plates used have yellow or white as background and black as foreground color. General problems faced by the captured image while moving is quite missing all its originality due to the addition of noises and due to the environmental situations. The captured image which is analyzed by our eyes can only see a few lines of the image obtained. So we are in need of the better algorithms for processing. In this paper we proposed a system for localization of number plate for vehicles and segmented the numbers as to identify each number separately. We generally focus on two steps: one is to locate the number plate and second is to segment all the numbers and letters to identify each number separately. Modified Edge detection is an important task for the resulting clear cut image output and it is the midpoint between the image and its background. The developed system first detects the vehicle then captures the vehicle image. Vehicle number plate region is extracted using the image segmentation in a picture. The data which came is used for comparing with some records on database and getting the precise information like vehicle owner details, registration place, address, etc. This whole process is done by using MATLAB, which is used for testing on real image.