Vehicle Number Plate Detection and Owner Identification

June 2020
Vol-6, Issue-3
Paper ID: 12210
ISSN: 2395-4396
Downloads: 0

Abstract & Details

Research Area
Information Technology
Keywords
Number plate detection prepossessing grayscale binarization OCR median filter image processing cca image recognition number recognition cloud storage Database of vehicle register number plate.
Abstract
Identification of cars and their owners is a tedious and error prone job. The advent of automatic number plate detection can help tackle problems of parking and track control. The system is designed using image processing and machine learning. The image of vehicle is captured, which is preprocessed using techniques like grayscale, binarization. De-noising of number plate is done using various filters. The characters of the number plate are segmented by CCA and ratio analysis as well. After the Detection is completed then we will identify the vehicle, We check that number plate in our database is valid or not. If it is valid then the entry details of the vehicle will be stored in the other database. If it is not found in our database it will find on the web and store the details. When the vehicle is return it will check the previous database and store the exit time of vehicle.

Author Information

# Name Institute / Affiliation
1 Dnyaneshwar Arun Borole Pravara Rural Engineering College,Loni
2 Shailesh Ramhari Nirmal Pravara Rural Enginnering College,Loni
3 Ashwin Sunil jaware Pravara Rural Engineering College,Loni

How to Cite

Use the following formats to cite this article in your research.

APA Style
Borole, Dnyaneshwar Arun, Nirmal, Shailesh Ramhari, & jaware, Ashwin Sunil (2020). Vehicle Number Plate Detection and Owner Identification. International Journal of Advance Research and Innovative Ideas In Education, 6(3), 1545-1554.
MLA Style
Borole, Dnyaneshwar Arun, et al. "Vehicle Number Plate Detection and Owner Identification." International Journal of Advance Research and Innovative Ideas In Education, vol. 6, no. 3, 2020, pp. 1545-1554.
IEEE Style
Dnyaneshwar Arun Borole, Shailesh Ramhari Nirmal, and Ashwin Sunil jaware, "Vehicle Number Plate Detection and Owner Identification," International Journal of Advance Research and Innovative Ideas In Education, vol. 6, no. 3, pp. 1545-1554, 2020.
Vancouver Style
Borole Dnyaneshwar Arun, Nirmal Shailesh Ramhari, jaware Ashwin Sunil. Vehicle Number Plate Detection and Owner Identification. International Journal of Advance Research and Innovative Ideas In Education. 2020;6(3):1545-1554.
Harvard Style
Borole, Dnyaneshwar Arun, Nirmal, Shailesh Ramhari, & jaware, Ashwin Sunil (2020) 'Vehicle Number Plate Detection and Owner Identification', International Journal of Advance Research and Innovative Ideas In Education, 6(3), pp. 1545-1554.
Chicago Style
Borole, Dnyaneshwar Arun, Shailesh Ramhari Nirmal, and Ashwin Sunil jaware. "Vehicle Number Plate Detection and Owner Identification." International Journal of Advance Research and Innovative Ideas In Education 6, no. 3 (2020): 1545-1554.
Turabian Style
Borole, Dnyaneshwar Arun, Shailesh Ramhari Nirmal, and Ashwin Sunil jaware. "Vehicle Number Plate Detection and Owner Identification." International Journal of Advance Research and Innovative Ideas In Education 6, no. 3 (2020): 1545-1554.

Export Citation

Related Research

DIGITAL DIVIDE AND EQUITY IN ACCESS TO INTERNET: ITS IMPACT TO LEARNERS’ ACADEMIC ACHIEVEMENT
Ladylee Paje Custodio et al. 2026 Educational technology
PDF Unavailable
A PHENOMENOLOGICAL STUDY ON THE CHALLENGES, AND COPING STRATEGIES OF SCHOOL HEADS IN USING TECHNOLOGY
MARK IAN K. DOMOSMOG 2026 Educational Leadership and Management with a focus on Educational Technology Integration
PDF Unavailable
A Comprehensive Review of Blockchain in Automotive Data Tracking
Mr Nagesh U B et al. 2026 Information Science
PDF Unavailable
A Review Paper on Deep Learning-Based Image Steganography Techniques
Dr. Rachana P et al. 2026 Information Science and Engineering
PDF Unavailable
Decentralized Voting System Using Ethereum Blockchain
Dr. D. SIVAKUMAR et al. 2026 Information Science and Engineering
PDF Unavailable
Comprehensive Framework for Real-Time Hand Gesture Recognition on Mobile Platforms using Machine Learning,TensorFlow Lite, Keras, MediaPipe, OpenCV and NumPy
Roshani Rajesh khobragade et al. 2026 Information Technology / Computer Engineering / Machine Learning
PDF Unavailable