Neural Network Based Threshold Determination for Malaysia License Plate Character Recognition

In this paper, a method to recognize characters of vehicle license plate in Malaysia by using a neural network based threshold method is presented. Vehicle license plate recognition is one of important techniques that can be used for the identification of vehicles all over the world. There are many applications such as entrance admission, security, parking control, airport or harbor cargo control, road traffic control, speed control, toll gate automation and so on. For separation of characters and background, a threshold of digitalization is important and is determined using a three-layered neural network in this paper. Furthermore, in the extracted character portions, we segment characters and recognize them by obtaining their features. Computer simulations show that character segmentation and recognition can be effectively carried out using the present method.