Abstract
The Automatic License Plate Recognition (ALPR) has been becoming a new trend in transportation systems automation. The extraction of vehicle’s license plate can be done without human intervention. Despite such technology has been widely adopted in developed countries, developing countries remain a far-cry from implementing the sophisticated image and video recognition for some reasons. This paper discusses the challenges and possibilities of implementing Automatic License Plate Recognition within Indonesia’s circumstances. Previous knowledge suggested in the literature, and state of the art of the automatic recognition technology is amassed for consideration in future research and practice.
Highlights
This article presents a comprehensive study of research on Automatic License Plate Recognition (ALPR) in Indonesia
The Principal Component Analisis (PCA) method can be used to reduce the dimensions of data without significantly reducing the characteristics of the data
This paper presents a comprehensive study of plate detection and recognition research in Indonesia
Summary
This article presents a comprehensive study of research on Automatic License Plate Recognition (ALPR) in Indonesia. The reviews will explain the methods used, the advantages and disadvantages of the methods used, the accuracy of the results of detection and recognition. Research review was conducted between 2010 and 2017. Implementation of research on ALPR was used in various fields such as the development of parking systems, vehicle traffic detection system, vehicle-based toll-based toll payment system, and other areas. Research on ALPR was a combination of research on digital image processing, artificial intelligence, and machine learning. ALPR Technique consists of several processes, namely 1).
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