Title: Research on licence plate recognition based on digital image

Authors: Gongfa Li; Guojun Zhao; Bo Tao; Du Jiang; Xiliang Tong; Shiyang Zhou

Addresses: Key Laboratory of Metallurgical Equipment and Control Technology of Ministry of Education, Wuhan University of Science and Technology, Wuhan 430081, Hubei, China; Hubei Key Laboratory of Mechanical Transmission and Manufacturing Engineering, Wuhan University of Science and Technology, Wuhan 430081, Hubei, China ' Key Laboratory of Metallurgical Equipment and Control Technology of Ministry of Education, Wuhan University of Science and Technology, Wuhan 430081, Hubei, China; Hubei Key Laboratory of Mechanical Transmission and Manufacturing Engineering, Wuhan University of Science and Technology, Wuhan 430081, Hubei, China ' Key Laboratory of Metallurgical Equipment and Control Technology of Ministry of Education, Wuhan University of Science and Technology, Wuhan 430081, Hubei, China; Hubei Key Laboratory of Mechanical Transmission and Manufacturing Engineering, Wuhan University of Science and Technology, Wuhan 430081, Hubei, China ' Key Laboratory of Metallurgical Equipment and Control Technology of Ministry of Education, Wuhan University of Science and Technology, Wuhan 430081, Hubei, China; Hubei Key Laboratory of Mechanical Transmission and Manufacturing Engineering, Wuhan University of Science and Technology, Wuhan 430081, Hubei, China ' Key Laboratory of Metallurgical Equipment and Control Technology of Ministry of Education, Wuhan University of Science and Technology, Wuhan 430081, Hubei, China; Hubei Key Laboratory of Mechanical Transmission and Manufacturing Engineering, Wuhan University of Science and Technology, Wuhan 430081, Hubei, China ' Key Laboratory of Metallurgical Equipment and Control Technology of Ministry of Education, Wuhan University of Science and Technology, Wuhan 430081, Hubei, China; Hubei Key Laboratory of Mechanical Transmission and Manufacturing Engineering, Wuhan University of Science and Technology, Wuhan 430081, Hubei, China

Abstract: As one of the trends in the development of science and technology, artificial intelligence has been widely used in all walks of life, especially the education industry. Aiming at the problem of image processing in the field of artificial intelligence, this article applies the experimental teaching method of artificial intelligence course, introduces the licence plate recognition experiment based on digital images, extracts the edge contour of the licence plate, uses convolutional neural network to train the licence plate data set and predicts the licence plate number, to solve specific image processing problems. Through experimental teaching, students will have a better understanding of image processing technology. Through familiarity with the licence plate recognition process and independent programming, the students' innovation ability can be cultivated and the comprehension quality of the students can be improved.

Keywords: image processing; experimental teaching; artificial intelligence; licence plate recognition.

DOI: 10.1504/IJWMC.2021.120015

International Journal of Wireless and Mobile Computing, 2021 Vol.21 No.2, pp.134 - 140

Received: 27 Jun 2021
Accepted: 03 Aug 2021
Published online: 04 Jan 2022 *

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