Design and Matlab Simulation of Persian License Plate Recognition Using Neural Network and Image Filtering for Intelligent Transportation Systems

Authors

  • Omid Akbarzadeh Department of Electronics and Telecommunications Politecnico di Torino Turin, Italy
  • Mohammad R. Khosravi Department of Computer Engineering Persian Gulf University Bushehr, Iran https://orcid.org/0000-0002-2029-5067
  • Linss T. Alex Department of Electrical and Electronics Engineering (EEE) Albertian Institute of Science and Technology (AISAT)) Kochi 682022, Kerala, India https://orcid.org/0000-0002-8859-9403

DOI

https://doi.org/10.52810/TPRIS.2021.100098

Keywords:

License Plate Recognition, Image Processing, Detection Algorithm, Probabilistic Neural Network

Abstract

Vehicles play a vital role in modern-day intelligent transportation systems (ITS). Plate characters provide a standard means of identification for any vehicle. To serve this purpose, an automatic license plate recognition system is studied. In this paper, we intend to create an optimized algorithm for implementing the scheme. Firstly, we undertake several challenging stages. The first step is introduced as the determination of plate location. Then, in the second phase, we apply an initial improvement to decline the likely noises using the Gaussian function to provide an appropriate filter for this target. Next, the rest of the project is organized as follows, finding the edge of images, enhancing modified pictures, and selecting the exact place of the plate. Afterward, tilting and plate rotation improvement and plate characters' extraction are considered two essential steps in this regard. Eventually, the final step of this project consists of several stages, such as employing a neural network to extract the plate characters automatically.   

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Author Biographies

Mohammad R. Khosravi, Department of Computer Engineering Persian Gulf University Bushehr, Iran

Mohammad R. Khosravi received the B.Sc., M.Sc., and Ph.D. degrees in electrical engineering with expertise in communications and signal processing. He is currently with the Department of Electrical and Electronic Engineering Engineering, Shiraz, Iran. His main research interests include optical and radar imaging, digital image processing, remote sensing systems, computer communications, cyber-physical systems, internet of things, and industrial sensor networks.

Linss T. Alex, Department of Electrical and Electronics Engineering (EEE) Albertian Institute of Science and Technology (AISAT)) Kochi 682022, Kerala, India

Linss T. Alex received the degree in electrical and electronics engineering from Mahatma Gandhi University, India, in 2007, the master’s degree in power electronics from Amrita Vishwa Vidyapeetham University, India, in 2011, and the Ph.D. degree in electrical and electronics engineering from the SRM Institute of Science and Technology, Chennai, India, in 2020. He is currently working as an Associate Professor with the Department of Electrical and Electronics Engineering, Met’s School of Engineering, A. P. J. Abdul Kalam Technological University, Kerala, India. His research interests include renewable energy systems, the Internet of Things, artificial intelligence, and electric vehicles.

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Design and Matlab Simulation of Persian License Plate Recognition Using Neural Network and Image Filtering for Intelligent Transportation Systems

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Published

2022-02-08

How to Cite

Akbarzadeh, O., Khosravi, M. R., & Alex, L. T. (2022). Design and Matlab Simulation of Persian License Plate Recognition Using Neural Network and Image Filtering for Intelligent Transportation Systems. ASP Transactions on Pattern Recognition and Intelligent Systems, 2(1), 1–14. https://doi.org/10.52810/TPRIS.2021.100098

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Section

Regular Paper