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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM14215

Real-time Automated License Plate Recognition using R-CNN

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM14215

Volume:

6 |

6 |

Jun 2022

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM14215

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

DKK

Dr. K. Kavitha

SM

S. Madhesh

GYN

G.S. Yadhu Nandhan

MJ

M.R. Jyothiswaruban

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Abstract

The extraction of vehicle license plate information from a picture or a succession of photographs is known as automatic license plate recognition (ALPR). Many applications, such as electronic payment systems (toll payment, parking fee payment), and highway and arterial monitoring systems for traffic surveillance, can use the extracted data with or without a database. The ALPR takes pictures with colour, black-and-white, or infrared cameras. The quality of the acquired photographs is critical to the ALPR’s success. As a real-world application, ALPR must process license plates swiftly and successfully in a variety of environments, including inside, outdoors, day or night. It should also be generic enough to handle license plates from other countries, provinces, or states. Domain – Deep Learning

KEYWORDS

ALPR ANPR R-CNN Neural Networks.

Cite This Article

Dr. K. Kavitha, S. Madhesh, G.S. Yadhu Nandhan, M.R. Jyothiswaruban, "Real-time Automated License Plate Recognition using R-CNN," International Journal of Scientific Research in Engineering and Management, vol. 6, no. 6, Jun 2022. https://doi.org/10.55041/IJSREM14215

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Publication Date

5/5/2022

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Double-Blind Peer Review

Review Rounds: 2

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5

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The authors declare no conflict of interest related to this research work.

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