Developing new techniques to improve licence plate detection systems for complicated and low quality vehicle images
Article
Article Title | Developing new techniques to improve licence plate detection systems for complicated and low quality vehicle images |
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ERA Journal ID | 123131 |
Article Category | Article |
Authors | |
Author | Al-Shemarry, Meeras Salman Juwad |
Journal Title | IEEE Intelligent Informatics Bulletin |
Journal Citation | 20 (1), pp. 42-44 |
Article Number | 4 |
Number of Pages | 3 |
Year | 2020 |
Place of Publication | United States |
ISSN | 1727-5997 |
1727-6004 | |
2168-8222 | |
Web Address (URL) | http://www.comp.hkbu.edu.hk/~iib/ |
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. |
Keywords | licence plate detection systems |
ANZSRC Field of Research 2020 | 460304. Computer vision |
460306. Image processing | |
460308. Pattern recognition | |
Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
Byline Affiliations | School of Sciences |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q6490/developing-new-techniques-to-improve-licence-plate-detection-systems-for-complicated-and-low-quality-vehicle-images
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