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http://dx.doi.org/10.9708/jksci.2011.16.4.053

Fusion Methods of License Plate Detection and Super Resolution for Improving License Plate Recognition  

Song, Tae-Yup (Dept. of Biomicrosystem Engineering)
Lee, Young-Hyun (Dept. of Visual Information Processing)
Kim, Min-Jae (Dept. of Electrical Engineering)
Ku, Bon-Hwa (Dept. of Electrical Engineering)
Ko, Han-Seok (Dept. of Electrical Engineering)
Publication Information
Journal of the Korea Society of Computer and Information / v.16, no.4, 2011 , pp. 53-60 More about this Journal
Abstract
This paper proposes fusion methods of license plate detection and super-resolution for improving license plate recognition in low-resolution images. In the proposed method, we apply the license plate detection based on local structure pattern feature and the sequential super-resolution based on Kalman filter. The proposed fusion methods are divided into two according to whether the license plate is detected or not in the input image : (i) performing license plate detection after restoring whole image through super resolution, and (ii) restoring only the detected region through super-resolution after detecting the license plate. We demonstrated effectiveness of the proposed methods in various environments.
Keywords
Structure Pattern Feature; License Plate Detection; Sequential Super-Resolution;
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