License Plate Recognition (LPR) systems play an important role in intelligent transportation applications. These systems have been extensively used in highway and bridge charge, ports, airports, gate monitoring, parking and toll applications, to mention a few. In this paper, we propose a real-time LPR system that uses the LabVIEW software and is based on the NI-Camera Vision System. The system adapts automatically to detect license plates from the GCC countries and identify both English & Arabic letters and Numerals. The system uses recently introduced LPs in Saudi Arabia to test the real-time operation. The system was tested using low-resolution images of just 640×480 pixels and achieved a success rate of 94% under optimal conditions. Most importantly, the processing time is under 40 ms/plate outperforming most existing systems which average around 100 ms/plate.
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机译：车牌识别（LPR）系统在智能交通应用中起着重要作用。这些系统已广泛用于高速公路和桥梁收费，港口，机场，闸口监控，停车和收费应用中。在本文中，我们提出了一种基于NI-Camera Vision System的实时LPR系统，该系统使用LabVIEW软件。该系统会自动进行调整，以检测来自GCC国家的车牌，并识别英语和阿拉伯字母以及数字。该系统使用沙特阿拉伯最近推出的LP来测试实时操作。该系统使用仅640×480像素的低分辨率图像进行了测试，并且在最佳条件下的成功率为94％。最重要的是，处理时间不到40 ms /板，优于大多数现有系统的平均时间约100 ms /板。
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