Real-Time Vehicle License Plate Recognition Based on 1-D Discrete Periodic Wavelet Transform

This paper is the use of the scanning window and 1-D discrete periodic wavelet transform and artificial neural network for the license plate recognition. By scanning the image through the one-dimensional discrete periodic wavelet transform, select the image low-frequency coefficients. Therefore, it can improve the rapid license plate recognition of implementation. This article is a directly scanning for the license plate recognition, without make individual character recognition. Therefore, this new method is a kind of real-time recognition, license plate recognition rate of the experimental results can be as high as 94.7%.