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Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM14215
Volume:
6 |
6 |
Jun 2022
Pages:
Publication Frequency:
Monthly (12 issues per year)
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.
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
Publication Date
5/5/2022
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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