A study of license plate character recognition based on wavelet moment

License plate character recognition is a main step in license plate recognition system, but its emphasis is to choose efficient features. Wavelet motion is a new visual invariant, it is a integration of moment and wavelet multi-scale analysis. Wavelet moment feature of image can reflect the image's part and whole characters and has strong anti-jamming ability. But different method of discretization of wavelet moment shows different performance. On the basis of analysis of wavelet moment, the paper introduces the algorithm of discretization of wavelet moment, and applies it to license plate character recognition system. With the wavelet moment features and improved BP neural network, the recognition of license plate character is realized and good performance gained.