4 March 2013 An efficient license plate character recognition algorithm based on shape context
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Proceedings Volume 8761, PIAGENG 2013: Image Processing and Photonics for Agricultural Engineering; 876109 (2013) https://doi.org/10.1117/12.2019625
Event: Third International Conference on Photonics and Image in Agriculture Engineering (PIAGENG 2013), 2013, Sanya, China
Abstract
It is usually hard for traditional machine-learning-based classification algorithms such as Support Vector Machine (SVM) to classify similar characters in the process of license plate character recognition. In this paper, we introduced an efficient character recognition system based on a local, robust shape descriptor called the shape context to solve this problem. We also improved the matching strategy overcome shape context’s slow running speed. Experiment result shows the proposed algorithm has higher accuracy and quicker running speed compare to traditional machine- learning-based algorithms.
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Yan Wan, Yan Wan, Xiaotao Xu, Xiaotao Xu, Li Yao, Li Yao, } "An efficient license plate character recognition algorithm based on shape context", Proc. SPIE 8761, PIAGENG 2013: Image Processing and Photonics for Agricultural Engineering, 876109 (4 March 2013); doi: 10.1117/12.2019625; https://doi.org/10.1117/12.2019625
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