AUTOMATIC NUMBER PLATE RECOGNITION SYSTEM FOR VEHICLE IDENTIFICATION USING OPTICAL CHARACTER RECOGNITION

Abstract

The increased security concerns in hotels, government facilities and business buildings require identifying entering vehicles and controlling access to these facilities. The platform is automated with license plate recognition based on images of vehicles. However, in situations where standardized plates are not used, image-based recognition. License plate, police and background deformation. Traditionally human beings do this job, and gate keepers need to stay alert for long hours, check vehicles entering to the facility and manually keep data about those cars. This tedious and inefficient process demands excessive energy from security personnel and creates inconveniences and possibly security loophole in these premises. To overcome these shortcomings, this work proposes a prototype design for an automatic gate access controlling system which scans the vehicle plate numbers using a camera and optical recognition algorithm and compares it with the records stored in the database to decide whether to allow the car or not.