This paper presents a license plate recognition system of moving vehicles for Egyptian license plates. The proposed system extracts the characters features of a plate from a captured image by a digital video camera. Then it identifies numbers and characters of the plate using a multilayer neural network. The proposed system consists mainly of two processes: the first one is the training process, in which a database is build and the neural networks used for recognition are trained. The second one is the recognition process which consists of vehicle detection from the stream of frames, a plate position estimation, words and numbers segmentation, and plate recognition stages.