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Vehicle License Plate Registration Recognition System

机译:车辆车牌注册识别系统

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Neural network had been used widely in many applications, such as to recognize an object or character, to detect a motion, to control a process, to forecast a result, to analyze data and for management of information. With the rapid growth of vehicles on the road and with the aid of improved technology, there is a demand for processing vehicles as conceptual resources in information systems. This paper will show how to design a system using the neural network to recognize the vehicle registration plate of vehicles. The approach to the project is by capturing footage and after which, the footage undergo segmentation to obtain the vehicle registration plate numbers using this software called MATLAB. The simulation will be illustrated after training the neural network; the system is able to recognize most of the vehicle registration plate with minimum errors.
机译:神经网络在许多应用中广泛使用,例如识别对象或字符,以检测运动,以控制过程,以预测结果,分析数据和信息管理。随着道路车辆的快速增长,借助于改进的技术,需要加工作为信息系统中概念资源的车辆。本文将展示如何使用神经网络设计系统来识别车辆的车辆登记板。该项目的方法是通过捕获镜头和之后,镜头经历分割,以获得使用称为MATLAB的软件来获取车辆登记板号。培训神经网络后将说明模拟;该系统能够识别最小误差的大多数车辆登记板。

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