Journal of Ubiquitous Computing and Communication Technologies
IRO Journals
Volume 5 — Issue 2 — June 2023

Vehicle Detection and Recognition for Allowing into Premises Using OCR

https://doi.org/10.36548/jucct.2023.2.002
Nadhiya U
Students of Electrical and Electronics Engineering Department, Dr.Mahalingam College of Engineering And Technology, Tamilnadu, India
Mahalakshmi K
Students of Electrical and Electronics Engineering Department, Dr.Mahalingam College of Engineering And Technology, Tamilnadu, India
Kaviyarasu P
Students of Electrical and Electronics Engineering Department, Dr.Mahalingam College of Engineering And Technology, Tamilnadu, India
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How to Cite

U, Nadhiya, Mahalakshmi K, and Kaviyarasu P. 2023. “Vehicle Detection and Recognition for Allowing into Premises Using OCR”. Journal of Ubiquitous Computing and Communication Technologies 5 (2): 125-32. https://doi.org/10.36548/jucct.2023.2.002.
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Keywords

— Number Plate Recognition
— Raspberry Pi
— Image Segmentation
— Optical Character Recognition
Published: 22-06-2023

Abstract

The research has proposed a system to automatically detect the number plate and recognize it using optical character recognition method. Before taking a image of the number plate, the developed system first recognizes the car. Image segmentation is used to recover the portion of an image that contains the vehicle identification number. Character recognition is accomplished using an optical character recognition technique. This involves using matching techniques to check whether the car plate image matches the data in the database. The warning sign will show when authenticity is verified, and the car will then be permitted to enter the designated area. Real-time video is captured to evaluate the system's functionality, and Python is used to create and simulate the system. Due to its promising nature the suggested method is employed in the automated vehicle authentication in universities in future.

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