Developing new techniques to improve licence plate detection systems for complicated and low quality vehicle images

Al-Shemarry, Meeras Salman Juwad ORCID: https://orcid.org/0000-0003-2859-9441 (2020) Developing new techniques to improve licence plate detection systems for complicated and low quality vehicle images. IEEE Intelligent Informatics Bulletin, 20 (1):4. pp. 42-44. ISSN 2168-8222


Abstract

Intelligent transportation systems (ITSs) play a very important role in people’s lives in many respects. One of the most important ITS applications is for automatic number plate recognition systems. Over the years, many algorithms have been developed for detecting licence plates (LPs) from vehicle images or from a sequence of images in a video. Many existing ITSs work only under good conditions or normal environments.

It is still challenging to find effective techniques to identify LPs under difficult conditions, such as low/high contrast, bad illumination, foggy, dusty, or distorted by high speed or bad weather. New techniques are needed to improve the performance of existing detection systems.


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Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Additional Information: Permanent restricted access to Published version, in accordance with the copyright policy of the publisher.
Faculty/School / Institute/Centre: Current - Faculty of Health, Engineering and Sciences - School of Sciences (6 Sep 2019 -)
Faculty/School / Institute/Centre: Current - Faculty of Health, Engineering and Sciences - School of Sciences (6 Sep 2019 -)
Date Deposited: 06 Apr 2021 02:30
Last Modified: 21 Apr 2021 05:32
Uncontrolled Keywords: licence plate detection systems
Fields of Research (2008): 08 Information and Computing Sciences > 0801 Artificial Intelligence and Image Processing > 080105 Expert Systems
08 Information and Computing Sciences > 0801 Artificial Intelligence and Image Processing > 080104 Computer Vision
08 Information and Computing Sciences > 0801 Artificial Intelligence and Image Processing > 080199 Artificial Intelligence and Image Processing not elsewhere classified
08 Information and Computing Sciences > 0801 Artificial Intelligence and Image Processing > 080106 Image Processing
Fields of Research (2020): 46 INFORMATION AND COMPUTING SCIENCES > 4603 Computer vision and multimedia computation > 460304 Computer vision
46 INFORMATION AND COMPUTING SCIENCES > 4603 Computer vision and multimedia computation > 460306 Image processing
46 INFORMATION AND COMPUTING SCIENCES > 4603 Computer vision and multimedia computation > 460308 Pattern recognition
URI: http://eprints.usq.edu.au/id/eprint/41661

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