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License plate recognition based on clustering analysis and neural network

Lookup NU author(s): Professor Gui Yun TianORCiD

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Abstract

A method for license plate recognition based on clustering analysis and neural network is introduced from the Chinese, number and alphabet character. The method can improve the ratio of Chinese recognizing accuracy and increase the speed of the license plate recognition, thus satisfying the demand of immediacy and accuracy in the system of expressway toll collection. Experimental results show that the recognition accuracy of number and alphabet is 97.0% and that of Chinese character is 90.1%.

Publication metadata

Author(s): Wang H, Huang W, Zhu Y, Tian G, Ji J

Publication type: Article

Publication status: Published

Journal: Shuju Caiji Yu Chuli/Journal of Data Acquisition and Processing

Year: 2008

Volume: 23

Issue: 2

Pages: 238-242

ISSN (print): 1004-9037

ISSN (electronic):

Publisher: Shuju Caiji Yu Chuli

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