International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 180 - Number 15 |
Year of Publication: 2018 |
Authors: Devesh Khaparde, Heet Detroja, Jainam Shah, Rushikesh Dikey, Bhushan Thakare |
10.5120/ijca2018916193 |
Devesh Khaparde, Heet Detroja, Jainam Shah, Rushikesh Dikey, Bhushan Thakare . Survey on Automatic Number Plate Recognition System. International Journal of Computer Applications. 180, 15 ( Jan 2018), 28-32. DOI=10.5120/ijca2018916193
Number plate recognition is a system which is designed to capture the registered number plate of vehicles. It avails the user to identify and monitor running vehicles and extract their number plates and obtain their information from the RTO database .This survey paper focuses on the research done in automatic number plate recognition system from past several years and hence shows the advantages and disadvantages of the existing system. It shows the architecture and the methodology currently being used for the extraction of characters from number plate and displaying it. It has illustrated various methods to extract image frames from a streaming cctv footage, recognize the vehicle number and convert it into its corresponding text format. A Machine vision system for the car identification can also help a human operator and cultivate an objective to improve automation of the traffic controlling system using machine-learning tools.