基于神经网络的阿拉伯车牌识别

A. Zidouri, Mohamed Deriche
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引用次数: 13

摘要

车牌识别(LPR)系统是许多交通相关应用的关键,如道路交通监控或停车场门禁控制。提出了一种针对GCC车牌的自动车牌识别系统。该系统提出了一种车牌提取和阿拉伯字符、数字识别算法。该系统的初步工作已经在不同照明条件下拍摄的车辆真实图像上进行了研究。实时LPR在公共道路交通规则自动监控和维护执法方面发挥着重要作用。通过车牌内容自动识别车辆在私人运输应用中很重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Recognition of Arabic License Plates using NN
License plate recognition (LPR) systems are a key to many traffic related applications such as road traffic monitoring or parking lots access control. We propose an automatic license plate recognition system for GCC license plates. The system presents an algorithm for the extraction of license plate and recognition of Arabic characters and numerals. Preliminary work on the system has been investigated on real images of vehicles captured under various illumination conditions. Real time LPR plays a major role in automatic monitoring of traffic rules and maintaining law enforcement on public roads. The automatic identification of vehicles by the contents of their license plates is important in private transport applications.
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