License Plate Detection using Computer Vision technique with Artificial Intelligence

The term "Automatic Vehicle Plate Recognition," abbreviated "AVPR," refers to the process of extracting information about a vehicle's licence plate from a picture or series of photographs. Since the beginning of the last century, AVPR has evolved into a hard and exciting field of study. Applications may be found for AVPR systems in a broad variety of contexts. It has proved beneficial to a great number of real-world applications, including electronic toll collection, automated parking management, access control, radar-based speed control, border control, criminal pursuit, and traffic law enforcement, amongst others. Even if there are a number of commercial AVPR systems on the market right now, there are still a lot of obstacles and problems with the proper recognition of licence plates. In India, the rules for number plates are seldom put into practise. The identification of licence plates is plagued by a number of issues, including the presence of superfluous information, variations in font size and type, blur, skew, and other environmental influences. Recognition of number licence plates may be difficult due to the many different kinds of licence plates and the surroundings in which they are displayed. The creation of a robust, accurate, and dependable automated automobile licence plate recognition system is the primary goal of this thesis. The following are the stages involved in implementing our strategy: The first step is the pre-processing of the picture that was read in. The second step involves the extraction of character areas, and the third phase involves the identification of the characters that have been taken from the previous phase. The work being presented here has been done in order to recognise Indian licence plates.