Vehicles License Plate Recognition

Project Code :TCMAPY964

Objective

The main objective of Vehicle License Plate Recognition (VLPR) is to automatically capture and interpret license plate information from vehicles, enabling efficient vehicle identification and authentication for various applications such as law enforcement, parking management, and toll collection.

Abstract

License plate detection is an image processing technology that uses a license (number) plate for vehicle identification. The objective is to design and implement an efficient vehicle identification system that identifies the vehicle using the vehicle’s license plate. The system can be implemented on the entrance of parking lots, toll booths, or any private premises like college, etc. to keep the records of on-going and outgoing vehicles. It can be used to allow access to only permitted vehicles inside the premises. The developed system first captures the image of the vehicle’s front, then detects the license plate and then reads the license plate. The vehicle license plate is extracted using the image processing of the image. Optical character recognition (OCR) is used for character recognition. The system is implemented using OpenCV and its performance is tested on various images. It is observed that the developed system successfully detects and recognizes the vehicle license plate.

To recognize License number plates using the Python programming language. We will utilize OpenCV for this project in order to identify the license number plates and the python pytesseract for the characters and digits extraction from the plate. We will build a Python program that automatically recognizes the License Number Plate.

Keyword: Vehicles License plate images, Opencv, pytesseract OCR.

NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.