SISTEM DETEKSI PLAT KENDARAAN DENGAN MENGGUNAKAN METODE K-NEAREST NEGHBOUR (KNN)
The monitoring system and managemen of vehicle have developed. Identification and number plat recognition in the field of traffic one of them is like passing the stop line on the road so that is disturbs other drivers, this is the most and even often occurs in big city cities even regions. The purpose of this study is to extract and recognize license plates from the image of the vehicle, that infringes so that it can be used as a dataset in making reports on determining sanctions that are appropriate to the type of violation of the vehicle. This study uses an image processing extraction process so that method according to this method is K- Nearest Neighbour, using this method will facilitate the detection process because this method does not use looping, this process begins by preparing a training image and then performing the image recognition stage. Image recognition is a process of matching digital image data that has been converted into a matrix and then matched with existing datasets so that the result can be known in the form of reports
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