AUTOMATIC VEHICLE NUMBER PLATE RECOGNITION USING MACHINE LEARNING

Abstract

Vehicle control and identification of vehicle owner has become a major problem faced by many countries. Sometimes it is difficult to detect car owners who break driving rules and drive too fast. Therefore, it is not possible to catch and punish such people, as drivers will not be able to obtain the license plate of the moving vehicle due to the speed of the vehicle. Therefore, automatic license plate recognition (ANPR) systems should be developed as a way to solve this problem. There are now many ANPR systems. These systems are based on many methods, but it is still a very difficult task because factors such as the high speed of the vehicle, not having the same driver's license, driver's license and different lighting conditions can generally have a positive effect. recognition. . Most machines operate within these limits. This article describes various ANPR methods that use image size, completion rate, and processing time as metrics. At the end of the form, an extension of the ANPR is requested.