摘要：This paper proposed an improved method for license
plate recognition based on hierarchical classification. First, the method of
feature extraction and dimension reduction is presented by finding the optimal
wavelet packet basis in the process of wavelet packet decomposition and K-L
transform. Then the recognition algorithm is introduced based on feature
extraction and hierarchical classification. Finally, the principles and
procedures of using support vector machines, Harris corner detection algorithm
and digital character classification are explained in detail. Simulation
results indicate that the presented recognition algorithm performs well with
higher speed and efficiency in recognition.
