A Comparative Study on Detection and Recognition of Nonuniform License Plates

This paper presents a comparative study on license plate detection and recognition algorithms in unconstrained environments, which include varying illuminations, nonstandard plate templates, and different English language fonts. A prime objective of this study is to assess how well these models hand...

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Hlavní autoři:	Mehak Arshid, Muhammad Raees Azam, Zahid Mahmood
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2024-11-01
Edice:	Big Data and Cognitive Computing
Témata:	big data deep learning object detection object recognition
On-line přístup:	https://www.mdpi.com/2504-2289/8/11/155
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