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License Plate Recognition System Using a Coarse-to-fine Strategy
Li Ang,Liu Liang *
Beijing Key Lab. of Intell. Telecomm, Software & Multimedia, Beijing Univ. of Posts & Telecomm., Beijing 100876
*Correspondence author
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Funding: none
Opened online:30 December 2013
Accepted by: none
Citation: Li Ang,Liu Liang.License Plate Recognition System Using a Coarse-to-fine Strategy[OL]. [30 December 2013] http://en.paper.edu.cn/en_releasepaper/content/4577610
 
 
This paper deals with problematic from field of image processing, artificial intelligence and machine vision in construction of a license plate recognition system. This issue includes mathematical principles and algorithms. The significant of this system is its robustness for Chinese license plate detection and recognition. Authors represent a coarse-to-fine strategy: license plate region's rough detection and accurate localization of the region of interest (ROI). For the Optical Character Recognition (OCR) task, a Probabilistic Neural Network (PNN) is trained to identify Chinese and alphanumberic characters. It turns out a high accuracy is achieved in experiments and the system has a good application prospect.
Keywords:image processing; license plate recognition; Optical Character Recognition
 
 
 

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