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Introducing a large dataset of Persian license plate characters

机译:介绍波斯语车牌字符的大型数据集

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摘要

A large dataset of Persian license plate characters is introduced. These extracted characters are provided by Bani Nick Pardazesh Company, which is a pioneer in the intelligent transportation systems field, and its license plate recognition system has been used for many applications in Iran. Natural scene vehicle images delivered from this company were in various conditions. Most of them were taken with visible light during day and a few of them by infrared light with 850 nm wavelength during night. The vehicle images were achieved by color, black and white, or infrared cameras from front view and back view of automobiles in ~20 different indoor and outdoor locations, such as streets, roads, and parking lots, for different purposes, such as traffic control, issuing fines, etc. The images are different in size and angle and were taken in light and dark backgrounds, where the direction and intensity of the light varied. Also, some of the license plates were muddy and had parts that were shadowed. Out of all the available images, ~20,145 Persian characters were extracted by an intelligent system and verified by human observers. The extracted images are different in size, and some of them suffer from elimination, distortion, rotation, and noise.
机译:介绍了波斯语车牌字符的大型数据集。这些提取的字符由智能交通系统领域的先驱Bani Nick Pardazesh公司提供,其车牌识别系统已在伊朗用于许多应用。该公司提供的自然场景车辆图像处于各种条件下。他们中的大多数人在白天用可见光拍摄,而少数人在晚上用波长为850 nm的红外光拍摄。车辆图像是通过彩色,黑白或红外摄像机从大约20个不同的室内和室外位置(如街道,道路和停车场)出于不同目的(例如交通管制)从汽车的正视图和后视图获取的图像,图像的大小和角度不同,是在浅色和深色背景下拍摄的,光线的方向和强度各不相同。另外,有些车牌是泥泞的,并且零件被遮盖。在所有可用图像中,通过智能系统提取了约20145个波斯文字,并由人类观察者进行了验证。提取的图像尺寸不同,其中一些图像会被消除,失真,旋转和噪点。

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