Open AccessIndonesian License Plate Detection Using Morphological Operation
Author(s) -
Yuwanda Purnamasari Pasrun,
Mutmainnah Muchtar,
Amalia Nurani Basyarah,
Noorhasanah
Publication year - 2020
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/797/1/012037
Subject(s) - license , numbering , indonesian , computer science , payment , character (mathematics) , artificial intelligence , computer vision , mathematics , linguistics , operating system , philosophy , geometry , world wide web , programming language
Technological developments have enabled the use of vehicle number plate recognition in various fields such as parking systems, e-toll payments, handling motor vehicle theft cases, traffic violations and so on. Vehicle number plate characteristics in each country have characteristics that are not the same. Each country has a standard numbering system in its writing method, colour, language and size of the license plate, so that to take the research standards for license plate numbers from other countries is not effective. Special research is needed in accordance with the format of the number plate used by the country, in this case Indonesia. This research applies simple method, morphological operations in detecting vehicle plates in Indonesia. Morphological results will be segmented to get the image of the plate character separately. The test results show that the method applied can provide a maximum accuracy of up to 100% on taking plate images with a distance of 1.5 meters.