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Vol. 170, Issue 5, May 2014, pp. 171-176

 

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Research on Geometric Positioning Algorithm of License Plate in Multidimensional Parameter Space
 

1 Yinhua Huan, 2 Shiqi Zhao

1 Department of Automobile Engineering, Huaian College of Information Technology, 223003, China
2 School of Mechanical Engineering, Nanjing University of Science & Technology, 210004, China
1 Tel.: 13912089093

1 E-mail: ahua_09@126.com

 

Received: 15 January 2014 /Accepted: 30 April 2014 /Published: 31 May 2014

Digital Sensors and Sensor Sysstems

 

Abstract: Considering features of vehicle license plate location method which commonly used, in order to search a consistent location for reference images with license plates feature in multidimensional parameter space, a new algorithm of geometric location is proposed. Geometric location algorithm main include model training and real time search. Which not only adapt the gray-scale linearity and the gray non-linear changes, but also support changes of scale and angle. Compared with the mainstream locating software, numerical results shows under the same test conditions that the position deviation of geometric positioning algorithm is less than 0.5 pixel. Without taking into account the multidimensional parameter space, Geometric positioning algorithm position deviation is less than 1.0 pixel and angle deviation is less than 1.0 degree taking into account the multidimensional parameter space. This algorithm is robust, simple, practical and is better than the traditional method.

 

Keywords: Vehicle license geometric location, Multidimensional parameter space, Model training, Real time Search, Positioning algorithm.

 

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