Journal of Computer and Communications

Volume 2, Issue 9 (July 2014)

ISSN Print: 2327-5219   ISSN Online: 2327-5227

Google-based Impact Factor: 1.12  Citations  

Variance Window Based Car License Plate Localization

HTML  Download Download as PDF (Size: 439KB)  PP. 61-69  
DOI: 10.4236/jcc.2014.29009    4,634 Downloads   5,616 Views  Citations


In this paper, a new method for discovering the candidate car license plate locations is presented. First, the image is decomposed using a Haar wavelet to get the HL band with vertical edges. Then, the HL band image is binarized using an Otsu threshold. Next a black top-hat algorithm is applied to reduce the effects of interfering large continuous features other than the license plate. At this time, a moving window based modified variance score calculation is made for areas with white pixels. This work found that the top 3 detected rectangle windows correctly locate the license plate regions with a success rate of about 98.2%. Moreover, the proposed method is robust enough to locate the plates in cases where the rough vehicle position has not been previously discovered and the cars are not centered in the image.

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Pang, J. (2014) Variance Window Based Car License Plate Localization. Journal of Computer and Communications, 2, 61-69. doi: 10.4236/jcc.2014.29009.

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