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Vehicle license plate recognition based on wavelet transform modulus maxima and BP neural network

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2 Author(s)
Lin Huang ; Guilin University of Technology, 541004, China ; Tie-jun Yang

License plate recognition is an important part of intelligent transportation systems, and image feature extraction and recognition are the key processes. This paper describes a method of license plate identification. Firstly, wavelet transform modulus maxima is used to detect edges for the segmented characters of the plate, then the features of relative moment are extracted. Secondly, the features are fed into BP neural network for classification. Experiment results show that the method is efficient and has good recognition rate.

Published in:

Natural Computation (ICNC), 2012 Eighth International Conference on

Date of Conference:

29-31 May 2012