According to the license plate recognition problem, this paper did the research about license plate location and characters recognition. It proposed two new algorithms, they separately are license location algorithm based on color segmentation and fault-tolerant characters recognition algorithm based on BP neural network. In the pre-processing stage, it proposed image enhancement algorithm which could make the image more easily analyzed by computer. In the location stage, it made utilization of color and shape information, and then proposed location algorithm. In the recognition stage, it fully made the consideration of characters fault-tolerant, and then made the use of improved BP neural network to recognize characters. Experiments show that the special license plate fault-tolerant characters recognition algorithm is more accurate than the original license plate recognition methods, and its recognition rate has been improved greatly.
TOF Indoor Location Algorithm based on RBF Neural Network