Comparative Study of Different Techniques for License Plate Recognition

License Plate detection and recognition is a key technique in most of the traffic related applications such as searching of stolen vehicles, road traffic monitoring, airport gate monitoring, speed monitoring and Automatic parking access control. It is simply the ability to automatically extract and recognition of the vehicle license number plate’s character from a captured image. The License plate recognition systems have established a lot of interest from the research community because there is a certain limitation in particular territory, city or countries and lack of equivalence among different license plates. In This paper, we try to give an enhance and comprehensive view of the research work made in the area of LP detection and recognition and the techniques employed in developing a License Plate Recognition (LPR) system. In this analysis we not only study and also compare the License Plate Recognition Techniques based on different criteria like plate region extraction, character segmentation and character recognition rate using ANN, RBFNN and Template Matching along with its pros and cons.