VEHICLE NUMBER PLATE RECOGNITION

Project guide: Prof. Shiva Kumar Assistant Professor Department of Artificial Intelligence and Machine Learning (AI&ML)

Malla Reddy University, Maisammaguda, Hyderabad

D.GANAPATI VPR D.GANESH

School of Engineering (AIML) School of Engineering(AIML)

MALLA REDDY UNIVERSITY MALLA REDD UNIVERSITY

M.GAYATHRI DEVI N.GEETHA SANDESH

School of Engineering(AIML) School of Engineering(AIML)

MALLA REDDY UNIVERSITY MALLA REDDY UNIVERSITY

V.GIREESHA K.GNANAPRASOONA

School of Engineering(AIML) School of Engineering(AIML)

MALLA REDDY UNIVERSITY MALLA REDDY UNIVERSITY

Abstract- Vehicle License Plate Recognition System using an Optical Character Recognition (OCR) text recognition model, This system is designed to automatically recognize and read the license plates of vehicles in real-time from a video feed, making it ideal for use in traffic monitoring, toll booths, parking management, and security applications. The system consists of three main components: image preprocessing, feature extraction, and text recognition. First, the image is preprocessed to enhance the quality of the license plate image. Then, feature extraction is performed to isolate the license plate region and extract the characters. Finally, the text recognition model uses OCR to identify the characters and convert them into text. The proposed system has several advantages over traditional manual methods of license plate recognition, including speed, accuracy, and efficiency. The system is capable of recognizing license plates in various lighting conditions, weather conditions, and different fonts. Additionally, it reduces the risk of human error, as it is fully automated. Overall, this project offers an effective and efficient solution for license plate recognition, which can be applied in a wide range of industries. The successful implementation of this project has the potential to improve traffic flow, enhance public safety, and streamline parking management systems.

Keywords: License plate recognition (LPR), Automatic number plate recognition (ANPR), Vehicle identification, Plate detection, Plate extraction, Plate segmentation, Optical character recognition (OCR), Vehicle tracking, Image processing, Machine learning, Deep learning, Traffic monitoring, Data extraction, Pattern recognition, Image analysis, Vehicle identification number (VIN) recognition, Vehicle registration plate (VRP) recognition, ALPR (Automatic License Plate Recognition).

VEHICLE NUMBER PLATE RECOGNITION

VEHICLE NUMBER PLATE RECOGNITION