A Necessary Review on Optical Character Recognition (OCR) System for Vehicular Applications
The main motive of automatic number plate recognition is to monitor the congestion, traffic control, Smart Parking system, safety and surveillance of the drivers.
Abstract
The licensed number plate is used as an image processing procedure to categorize the vehicles. Optical character recognition is widely used for this character recognition. In this paper, a vehicle licensed number plate is captured as an image and stored in a database. These images will further used for the identification of a vehicle. Due to the increase in automobile-related crimes, this technique is helpful for defense and traffic applications. In dissimilar references, this knowledge is referred as Automatic automobile discovery, Automatic number plate recognition, Car number plate recognition, Car Plate Reader, or Optical Character recognition. There are several approaches used to build an Automatic Number Plate System like Artificial Neural Network-based, Cloud Computing based, Hybrid based, Template Matching based, and Histogram based, etc. By using these approaches, the accuracy of the number of plates using the OCR technique is checked. The main motive of automatic number plate recognition is to monitor the congestion, traffic control, Smart Parking system, safety and surveillance of the drivers.