A Systematic Literature Review: The Effectiveness of ANPR for Electronic Law Traffic Enforcement

Automatic number-plate recognition (ANPR) is a system that reads vehicle registration plates and generates vehicle location data using optical character recognition. The implementation of Automated Number Plate Recognition for Electronic Law Traffic Enforcement has been a common thing lately. The government is urged to use this system for its efficiency in Traffic Enforcement. This Automatic Number Plate Recognition system mainly uses similar algorithms Plate acquisition, Plate Detection/Localization, Character segmentation, and Character Recognition. There are various techniques for each Detection, Segmentation, and Recognition. The authors of this study intend to undertake a Systematic Literature Review (SLR) of previously conducted research on the subject. Therefore, this paper discusses the method/techniques in Automated Number Plate Recognition, the reason they are being used, the accuracy of each method, and the devices that can process each system. Towards the end of this study, Edge information is the most effective and accurate based on localization, for segmentation is character feature, and Support Vector Machine (SVM) for character recognition.