Comparative study of License Plate Recognition

Abstract

License Plate Recognition (LPR) is the most interesting and challenging area of research due to its importance to a wide range of commercial application. It is known that the number plates differ in shape and size. License plate recognition (LPR) is an image processing technology used to extract vehicle information from their license plates. There are three modules in license plate recognition system. 1) Detection 2) Character segmentation 3) Character recognition. There are many techniques for license plate detection, each having its own advantages and drawbacks. The basic step of license plate detection is localization of number plate. This paper compares morphological method, histogram based method and mathematical morphology methods of license plate detection. Character segmentation is done by using connected component and thresholding method. Character recognition is done by template matching method. The aim of this paper is to study and evaluates some of the most important license plate recognition algorithms