Research on the application of genetic algorithm in license plate recognition system

Intelligent Transportation Systems (ITS) is progressing rapidly in recent years in China. At the same time, as the information collection method for ITS, the license plate recognition technology has also developed very fast. The genetic algorithm (GA) is a kind of optimization algorithm which imitates the process of the natural evolution. From the day on which GA was proposed, the theory of GA has obtained a refinement to a great extent, and a lot of improved genetic algorithms have been put forward aiming at different questions. Because of the abilities of GA, such as solution set searching, optimization, fault tolerance, adaptation, potential parallelism, there are great research value and utility value of GA in many fields especially in image processing. Based on the detail analysis for the genetic algorithm (GA) and the vehicle plate recognition systems (VPRS), a new VPRS put forward in this paper has achieved good effects, concerning the characteristics of Chinese vehicle plate.