A Technical Assessment on License Plate Detection System

Abstract

Identifying the region of interest from an image is an important task in the field of computer vision. This process is referred as Object Detection. Locating the object can be done by extracting the features from the image and the features depend on the application. Image retrieval and surveillance are two important applications of Object Detection. Surveillance is an active research topic in computer vision that tries to detect, recognize and track objects over images. An interesting application of it is License Plate Recognition module in Intelligent Transportation System. The speedy developments in economic and social life bring on for a large increase in the number of vehicles in the city. This makes the traffic management difficult. It has great impact on human life as it aims to increase the transportation safety through innovative technologies. An important function that need for majority of ITS application is to identify the vehicle using LPR. This chapter presents assessment on different methods in detecting the license plate and discusses a case study on it.