A SUPER-RESOLUTION METHOD FOR RECOGNITION OF LICENSE PLATE CHARACTER USING LBP AND RBF

Character recognition is the key of three steps in license plate recognition. Although many methods have been proposed to deal with this problem, there is less work dealing with exploration of effective feature to represent license plate characters and recognize characters in low-resolution (LR) images. In this paper, we propose a method that uses the feature based on local binary pattern (LBP) to describe characters and uses radial basis function (RBF) to establish the relationship between features of HR and LR images. The experimental results show that the LBP feature is effective and our method has a good recognition performance.