Indonesian Vehicle License Plate Number Detection Using Deep Convolutional Neural Network

Autor: Hasan Imaduddin, Indra Adji Sulistijono, Anhar Risnumawan, Muhammad Ilham Perdana, Muhamad Khoirul Anwar
Rok vydání: 2018
Předmět:
Zdroj: 2018 International Electronics Symposium on Knowledge Creation and Intelligent Computing (IES-KCIC).
DOI: 10.1109/kcic.2018.8628488
Popis: In Indonesia, the license plate can be the identity of each vehicle, absolutely in every traffic, often occur traffic violations by the driver, the easiest way to identify them is by using their license plate number. Conventional plate detection is proved not solving the problem and not effective. Some problem that usually occurs when using conventional detection is unable to crack down the violator simultaneously, fraud, etc. Therefore to overcome those problems, automatic camera detection becomes an important thing. license plate detection only using camera visualization is an interesting challenge, by applying the latest artificial intelligence that is deep learning, one of them is Convolutional Neural Network (CNN) which is very good on image classification recently. The system will automatically detect the license plate number each vehicle, when the riders entering the zebra cross area, then his license plate will be detected and stored. Besides the system can also detect the plate on the vehicle that has excessive speed, by counting on the counter timer, and when there are vehicles that exceeding the speed limit it will detect the license plate.
Databáze: OpenAIRE