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Number Plate Recognition Using an Improved Segmentation

机译:使用改进的分割的车牌识别

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摘要

The NPR (Number Plate Recognition) using is a system designed to help in recognition of number plates of vehicles. This system is designed for the purpose of the security system. This system is based on the image processing system. This system helps in the functions like detection of the number plates of the vehicles, processing them and using processed data for further processes like storing, allowing vehicle to pass or to reject vehicle. NPR is an image processing technology which uses number (license) plate to identify the vehicle. The objective is to design an efficient automatic authorized vehicle identification system by using the vehicle number plate. The system is implemented on the entrance for security control of a highly restricted area like military zones or area around top government offices e.g. Parliament, Supreme Court etc. The developed system first captures the vehicle image. Vehicle number plate region is extracted using the image segmentation in an image. Optical character recognition technique is used for the character recognition. The resulting data is then used to compare with the records on a database. The system is implemented and simulated in Matlab, and it performance is tested on real image. It is observed from the experiment that the developed system successfully detects and recognize the vehicle number plate on real images.
机译:NPR(车牌识别)系统是一种用于识别车辆车牌的系统。此系统是为安全系统设计的。该系统基于图像处理系统。该系统有助于实现以下功能:检测车辆的车牌,对其进行处理以及将处理后的数据用于进一步的处理,例如存储,允许车辆通过或拒绝车辆。 NPR是一种使用车牌(牌照)识别车辆的图像处理技术。目的是通过使用车辆号牌来设计高效的自动授权车辆识别系统。该系统在入口处实施,用于高度限制区域的安全控制,例如军事区域或高级政府办公室附近的区域,例如议会,最高法院等。发达的系统首先捕获车辆图像。使用图像中的图像分割来提取车牌区域。光学字符识别技术用于字符识别。然后将所得数据用于与数据库中的记录进行比较。该系统在Matlab中实现和仿真,并在真实图像上测试了性能。从实验中可以看出,开发的系统可以在真实图像上成功检测并识别出车牌。

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