A robust and highly efficient localization method for irregular license plates

B. V. Ghaffari, T. Kitajima, S. S. Abdullah, M. Kouhnavard
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Abstract

This paper presents a robust method for license plate localization (LPL). Basically, the performance of LPL directly affects the accuracy of License Plate Recognition system. Although many studies had been conducted on LPL systems, many of them only discuss on license plate (LP) from countries that have restricted and distinguished LP types in terms of shapes and fonts. In this paper, a novel LPL system is proposed to address difficulties in recognizing extraordinary LP types with respect to shapes and fonts. The system has been implemented using MATLAB in eight different conditions of illumination in an actual environment to illustrate the efficiency of the proposed method. The total accuracy of this system for all conditions is 96% to 97%.
一种鲁棒、高效的不规则车牌定位方法
提出了一种鲁棒的车牌定位方法。基本上,LPL的性能直接影响到车牌识别系统的准确性。虽然对车牌识别系统进行了许多研究,但其中许多研究只讨论车牌(LP),这些国家在形状和字体方面对车牌类型进行了限制和区分。在本文中,提出了一种新的LPL系统来解决在形状和字体方面识别特殊LP类型的困难。在实际环境中,用MATLAB对8种不同光照条件下的系统进行了仿真,验证了所提方法的有效性。该系统在所有条件下的总准确度为96% ~ 97%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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