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Real Time Number Plate Recognition

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Real Time Number Plate Recognition


P. Harini | K. Harish | V. Gnanaprakash



P. Harini | K. Harish | V. Gnanaprakash "Real Time Number Plate Recognition" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-5, August 2020, pp.715-720, URL: https://www.ijtsrd.com/papers/ijtsrd31872.pdf

In the era of fast growing technologies, there is a huge demand among people for a comfortable lifestyle and travelling. In the last few years, the number of vehicles on road has been explosively grown. With the increasing growth in the vehicular sector every day, the need to track individual vehicle becomes a very challenging task. The proposed project suggests an automated way of tracking the fast moving vehicles with the help of the surveillance cameras on the road. One of the tedious step towards this project is to process the CCTV footage in the real time background. To overcome this strategy, an efficient deep learning framework particularly meant for object detection named YOLO (You Only Look Once) is used. The proposed work consists of four main steps. The first process is to convert the video footage into images and detect the car from each of the frames. The next step is to detect the license plate from the detected cars. Reading and recognizing the number plate characters from the detected number plates form the final step. To make the process of training the deep learning model easier, this system uses ImageAI library. It provides very efficient and easy to use classes to perform image recognition tasks. This system uses a customized dataset of 1000 images specifically containing Tamil Nadu license plate images. These images are taken under distinct light conditions and contradictory angles. The proposed method is tested in real time environment and achieved 97% accuracy for car detection, 98% accuracy for number plate localization and 90% accuracy for character recognition.

CCTV footage, object detection, car detection, YOLO, number plate localization, ImageAI, image recognition, customized dataset, character recognition


IJTSRD31872
Volume-4 | Issue-5, August 2020
715-720
IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470
Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

International Journal of Trend in Scientific Research and Development - IJTSRD having online ISSN 2456-6470. IJTSRD is a leading Open Access, Peer-Reviewed International Journal which provides rapid publication of your research articles and aims to promote the theory and practice along with knowledge sharing between researchers, developers, engineers, students, and practitioners working in and around the world in many areas like Sciences, Technology, Innovation, Engineering, Agriculture, Management and many more and it is recommended by all Universities, review articles and short communications in all subjects. IJTSRD running an International Journal who are proving quality publication of peer reviewed and refereed international journals from diverse fields that emphasizes new research, development and their applications. IJTSRD provides an online access to exchange your research work, technical notes & surveying results among professionals throughout the world in e-journals. IJTSRD is a fastest growing and dynamic professional organization. The aim of this organization is to provide access not only to world class research resources, but through its professionals aim to bring in a significant transformation in the real of open access journals and online publishing.

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