License plate localization based on statistical measures of license plate features
AffiliationUniversity of Bedfordshire
Subjectsvehicle license plate localization
connected component analysis
license plate features
license plate recognition
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Abstract— License plate localization is considered as the most important part of license plate recognition system. The high accuracy rate of license plate recognition is depended on the ability of license plate detection. This paper presents a novel method for license plate localization bases on license plate features. This proposed method consists of two main processes. First, candidate regions extraction step, Sobel operator is applied to obtain vertical edges and then potential candidate regions are extracted by deploying mathematical morphology operations . Last, license plate verification step, this step employs the standard deviation of license plate features to confirm license plate position. The experimental results show that the proposed method can achieve high quality license plate localization results with high accuracy rate of 98.26 %.
CitationBoonsim, N. & Prakoonwit, S. (2014), 'License Plate Localization based on Statistical Measures of License Plate Features', Int. J. on Recent Trends in Engineering and Technology, 10 (1) , 8 .
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