Open AccessAutomatic Number Plate Recognition for Indonesian License Plate by Using K-Nearest Neighbor Algorithm
Author(s) -
Dani Gunawan,
Wudda Rohimah,
R F Rahmat
Publication year - 2019
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/648/1/012011
Subject(s) - license , k nearest neighbors algorithm , computer science , automation , artificial intelligence , indonesian , computer vision , pattern recognition (psychology) , engineering , mechanical engineering , linguistics , philosophy , operating system
Transportation surveillance requires many human resources to cover all the road in a city. The human resources might be reduced by utilizing automation. For example, a task to recognize the license plate can be automated by utilizing CCTVs or surveillance cameras that usually installed in the crossroads. The automatic number plate recognition is required to record the license plate of the vehicle that violates the traffic rules. This number can be processed for future references. This research utilizes K-Nearest Neighbor (KNN) to recognize the license plate. The research is conducted to 125 license plate images which are divided into 100 training images and 25 testing images. The success rate of this research is 92.86%. The condition of the license plate and light intensity influence the recognition result.