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

Article


Al-Shemarry, Meeras Salman Juwad. 2020. "Developing new techniques to improve licence plate detection systems for complicated and low quality vehicle images." IEEE Intelligent Informatics Bulletin. 20 (1), pp. 42-44.
Article Title

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

ERA Journal ID123131
Article CategoryArticle
Authors
AuthorAl-Shemarry, Meeras Salman Juwad
Journal TitleIEEE Intelligent Informatics Bulletin
Journal Citation20 (1), pp. 42-44
Article Number4
Number of Pages3
Year2020
Place of PublicationUnited States
ISSN1727-5997
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.

Keywordslicence plate detection systems
ANZSRC Field of Research 2020460304. Computer vision
460306. Image processing
460308. Pattern recognition
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Byline AffiliationsSchool of Sciences
Institution of OriginUniversity of Southern Queensland
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