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Map-Based Single-Frame Super-Resolution Image Reconstruction for License Plate Recognition

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4 Author(s)
Zhan Li ; Sch. of Comput. Sci. & Eng., South China Univ. of Technol., Guangzhou, China ; Guoqiang Han ; Su Xiao ; Xiangji Chen

In a car license plate recognition system, effective and robust image expansion methods will improve its performance and bring a lower error rate. Two MAP-based super-resolution image reconstruction approaches for single image with a prior image model described as Huber Markov random field are discussed and applied to such a system in this paper. A new spatial smoothness measurement based on a flexible convolution kernel is proposed. Parameters in these approaches are discussed. Improved definition of images and increased recognition rate is also shown through computer simulations.

Published in:

Computational Intelligence and Software Engineering, 2009. CiSE 2009. International Conference on

Date of Conference:

11-13 Dec. 2009