Vehicle Authentication and Vehicle Plate Reorganization by Digital Image Processing.

Abstract

Automatic Vehicle License Plate Recognition (AVNPR) involves extracting vehicle license plate information from an image or sequence of images. In recent years, AVNPR has become a challenging and interesting research area. AVNPR systems cover a wide range of applications. Many practical applications such as electronic non-stop toll collection, automatic parking management, access control, radar speed measurement, border defense, law enforcement, and traffic police have benefited from it. There are many commercial AVNPR systems currently available, but there are many challenges and issues in accurately identifying license plates. In India, license plate standards are rarely implemented. There are many problems with license plate recognition, such as unnecessary text, different font sizes and fonts, blurring, distortion, environmental factors, etc. Changes in license plate type or environment bring challenges to license plate recognition. The main goal of this work is to develop a robust, accurate, and reliable automatic license plate recognition system and also to find the authonicity of vehcale from the site. https://parivahan.gov.in and RTO vehicle information app. This research article is performed in four parts: In the first part, the input image is preprocessed. The second stage, extract character area, recognition of extracted characters is performed in the third phase, in forth phase we extracted the owner's name along with the RC details. The system is run by the Open CV library in the python programming language.