Saudi license plate localization using hybrid method

K. Almustafa, R. Zantout
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Abstract

In this paper, localizing Saudi license plates in images using the “character recognition” method is described. In this method, all possible objects from the license plate image are filtered to keep only objects which may belong to a Saudi license plate. Filtering is done by checking each object to see whether it is a possible letter or number (in Arabic or English) that could be part of a Saudi license plate. If there exist both Arabic and English patterns that agree, the license plate is recognized. The method correctly localized and recognized Saudi license plates 83.9% of the times. The cases where the method did not work were for noisy images of license plates.
沙特车牌混合定位方法研究
本文描述了利用“字符识别”方法在图像中定位沙特车牌。该方法对车牌图像中所有可能的对象进行过滤,只保留可能属于沙特车牌的对象。过滤是通过检查每个对象来完成的,看它是否是一个可能成为沙特车牌一部分的字母或数字(阿拉伯语或英语)。如果同时存在阿拉伯语和英语模式,则可以识别车牌。该方法定位和识别沙特车牌的正确率为83.9%。该方法不起作用的情况是车牌的噪声图像。
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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