Automated Detection and Classification of Motorcycle Number Plate Formats to Improve Road Safety

Number Plates are necessary for every vehicle. The format of the Number Plate is defined by the governments. Nowadays, the number plate consists of religion and caste-based images. It also consists of regional languages, slogans and so on. If the students in colleges have these non-standard formats, they stimulate hostility among students. Hence, identifying the nonstandard number plate format is necessary for traffic police and college management. The objective of this research is to identify the non-standard number plates in two-wheelers. Hence, in this paper, Number Plate Format Recognition (NPFR) is proposed for two-wheelers. The format of the number plates is matched and the unformatted ones are identified. A dataset is created for this work from real-time CCTV images. Various experiments are carried out to analyze the proposed method. It is observed that high values of above 97% are achieved for various performance metrics.