A Novel Character Recognition Algorithm Based on Hidden Markov Models

Authors:
Yu Wang;Xueye Wei;Lei Han;Xiaojin Wu
Affiliations:
School of Electronics and Information Engineering, Beijing JiaoTong University, Beijing, China 100044;School of Electronics and Information Engineering, Beijing JiaoTong University, Beijing, China 100044;School of Electronics and Information Engineering, Beijing JiaoTong University, Beijing, China 100044;School of Electronics and Information Engineering, Beijing JiaoTong University, Beijing, China 100044
Venue:
AICI '09 Proceedings of the International Conference on Artificial Intelligence and Computational Intelligence
Year:
2009

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Abstract

In this paper, a novel character recognition algorithm based on the Hidden Markov Models is proposed. Several typical character features are extracted from every character being recognized. A novel 1D multiple Hidden Markov models is constructed based on the features to recognize characters. A large number of vehicle license plate characters are used to test the performance of the algorithm. Experimental results prove that the recognition rate of this algorithm is high aiming at different kinds of character.