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Automatic Recognition System of Vehicle Plate for Recording Incoming Vehicles to the University Campus and the Outgoing

机译:大学校园进出车辆记录车牌自动识别系统

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Automatic recognition of vehicle plate characters became a very important in our daily life because of the unlimited increase of vehicles that enter or leave a supervised area. This paper describes an automatic intelligent system that captures the images of vehicles and has the ability to recognize the plates of vehicles entering the university campus or leaving. A camera is built on the university gate for taking images of incoming or outgoing vehicles. A rear image of a vehicle is captured and processed. The system applies an intelligent filtering of the input image based on a set of filters removing unnecessary image elements preserving the position and shape of characters of the vehicle plate, histogram manipulation and edge detection techniques for plate localization and characters segmentation. Adaptive Neuro Fuzzy Inference System (ANFIS) is chosen as a classifier for recognizing the characters in the vehicle plates. This system can extracts the letters and numbers from vehicles plates. So, the extracted vehicle characters can be used to record the incoming vehicles to the university campus and the outgoing. The recognized vehicle characters are saved in the university database.
机译:由于进入或离开受监管区域的车辆数量的无限增加,自动识别车牌字符在我们的日常生活中变得非常重要。本文介绍了一种自动智能系统,该系统可以捕获车辆图像并具有识别进入大学校园或离开大学的车辆牌照的能力。在大学门口装有一个摄像头,用于拍摄进出车辆的图像。捕获并处理车辆的后方图像。该系统基于一组过滤器对输入图像进行智能过滤,这些过滤器去除了不必要的图像元素,从而保留了车牌字符的位置和形状,直方图操作和用于车牌定位和字符分割的边缘检测技术。选择自适应神经模糊推理系统(ANFIS)作为识别器,以识别车牌中的字符。该系统可以从车牌中提取字母和数字。因此,提取的车辆字符可用于记录进出大学校园的车辆和出站的车辆。识别出的车辆字符将保存在大学数据库中。

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