License plate recognition has many applications in traffic systems. It is very difficult because images are usually noisy, broken or incomplete. In this paper, a novel robust approach for license plate recognition is proposed, which combines subspace projection with probabilistic neural network to improve the recognition rate. Probabilistic neural network is used as a classifier to identify low-dimension test samples which are obtained from actual license plate images by subspace projection. Experiment results show the effectiveness of the proposed method. © Springer-Verlag Berlin Heidelberg 2005.
CITATION STYLE
Hu, Y., Zhu, F., & Zhang, X. (2005). A novel approach for license plate recognition using subspace projection and probabilistic neural network. In Lecture Notes in Computer Science (Vol. 3497, pp. 216–221). Springer Verlag. https://doi.org/10.1007/11427445_34
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