A Systematic Review of Intelligent Smart Traffic Control Systems (ITCs) using Image Processing Techniques

Authors

  • Muhammad Uzair Jatoi Computer Science Department, Ghazi University, Dera Ghazi Khan-Pakistan.

DOI:

https://doi.org/10.5281/zenodo.7893161

Keywords:

Intelligent smart traffic control systems (ITCs), automatic number plate recognition (ANPR), image processing (IP), recognize characters

Abstract

Automatic number plate recognition (ANPR) is a technology to control traffic in smart cities. The ANPR technology has become very important in daily life with the addition of vehicles, traffic violations, and controlling traffic issues. This article aims to review different smart traffic control methodologies used to develop better results in the past few years. This paper presents a comprehensive review of intelligent smart traffic control systems (ITCs) using image processing techniques. We first investigate the major challenges, including the detection of number plate formats and the recognition of characters. We specifically investigate different ANPR techniques that include the acquisition, segmentation, classification, detection, and recognition of number plates. The paper determined that utilizing additional image processing techniques resulted in successful outcomes. Finally, the paper suggests potential areas for future study to improve the accuracy and correctness of image processing methods.

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Published

2023-04-06

How to Cite

Muhammad Uzair Jatoi. (2023). A Systematic Review of Intelligent Smart Traffic Control Systems (ITCs) using Image Processing Techniques. LC International Journal of STEM (ISSN: 2708-7123), 4(1), 1-15. https://doi.org/10.5281/zenodo.7893161