Localization of License Plate Using Morphological Operations
This work addresses vehicle-related criminal activities like speeding and theft by improving license plate localization, but it appears incremental as it builds on existing methods with morphological operations.
The paper tackles the problem of vehicle identification for public security by proposing a license plate recognition system using morphological operations to overcome drawbacks of existing algorithms, achieving higher efficiency, noise filtering, accuracy, exact localization, and speed.
It is believed that there are currently millions of vehicles on the roads worldwide. The over speed of vehicles,theft of vehicles, disobeying traffic rules in public, an unauthorized person entering the restricted area are keep on increasing. In order restrict against these criminal activities, we need an automatic public security system. Each vehicle has their own Vehicle Identification Number (VIN) as their primary identifier. The VIN is actually a License Number which states a legal license to participate in the public traffic. The proposed paper is to identify the vehicle with the help of vehicles License Plate (LP).LPRS is one the most important part of the Intelligent Transportation System (ITS) to locate the LP. In this paper certain existing algorithm drawbacks are overcome by the proposed morphological operations for LPRS. Morphological operation is chosen due to its higher efficiency, noise filter capacity, accuracy, exact localization of LP and speed.