SISTEM DETEKSI PLAT KENDARAAN DENGAN MENGGUNAKAN METODE K-NEAREST NEGHBOUR (KNN)

Jurnal Riset Informatika

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Title SISTEM DETEKSI PLAT KENDARAAN DENGAN MENGGUNAKAN METODE K-NEAREST NEGHBOUR (KNN)
 
Creator Farida, Farida
Zainuddin, Zahir
Sahibu, Supriadi
 
Description 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
 
Publisher Kresnamedia Publisher
 
Date 2019-03-05
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
 
Format application/pdf
 
Identifier http://ejournal.kresnamediapublisher.com/index.php/jri/article/view/18
10.34288/jri.v1i2.18
 
Source Jurnal Riset Informatika; Vol 1 No 2 (2019): Periode Maret 2019; 65-70
2656-1735
2656-1743
10.34288/jri.v1i2
 
Language eng
 
Relation http://ejournal.kresnamediapublisher.com/index.php/jri/article/view/18/10
 
Rights Copyright (c) 2019 Farida Sunusi, Zahir Zainuddin, Supriadi Sahibu
http://creativecommons.org/licenses/by-nc/4.0
 

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