Chapter

Artificial Intelligence and Computational Intelligence

Volume 5855 of the series Lecture Notes in Computer Science pp 298-305

A Novel Character Recognition Algorithm Based on Hidden Markov Models

  • Yu WangAffiliated withSchool of Electronics and Information Engineering, Beijing JiaoTong University
  • , Xueye WeiAffiliated withSchool of Electronics and Information Engineering, Beijing JiaoTong University
  • , Lei HanAffiliated withSchool of Electronics and Information Engineering, Beijing JiaoTong University
  • , Xiaojin WuAffiliated withSchool of Electronics and Information Engineering, Beijing JiaoTong University

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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.

Keywords

Character recognition Hidden Markov Models