基于LabVIEW的沙特阿拉伯实时车牌识别系统

Y. K. Al-Audah, A. Al-Juraifani, Mohamed Deriche
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引用次数: 7

摘要

车牌识别(LPR)系统在智能交通中发挥着重要作用。这些系统已广泛应用于公路和桥梁收费,港口,机场,闸门监控,停车和收费应用,仅举几例。本文提出了一种基于NI-Camera Vision system的基于LabVIEW软件的实时LPR系统。该系统能自动检测海湾合作委员会国家的车牌,并能识别英文和阿拉伯字母及数字。该系统使用最近在沙特阿拉伯引进的lp来测试实时操作。该系统使用640×480像素的低分辨率图像进行测试,在最佳条件下成功率达到94%。最重要的是,处理时间低于40毫秒/板,优于大多数现有系统,平均约100毫秒/板。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A real-time license plate recognition system for Saudi Arabia using LabVIEW
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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