Automatic number plate recognition for Australian conditions

Leonard G C Hamey*, Colin Priest

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

17 Citations (Scopus)

Abstract

We consider the task of recognition of Australian vehicle number plates (also called license plates or registration plates in other countries). A system for Australian number plate recognition must cope with wide variations in the appearance of the plates. Each state uses its own range of designs with font variations between the designs. There are special designs issued for significant events such as the Sydney 2000 Olympic Games. Also, vehicle owners may place the plates inside glass covered frames or use plates made of nonstandard materials. These issues compound the complexity of automatic number plate recognition, making existing approaches inadequate. We have developed a system that incorporates a novel combination of image processing and artificial neural network technologies to successfully locate and read Australian vehicle number plates in digital images. Commercial application of the system is envisaged.

Original languageEnglish
Title of host publicationProceedings of the Digital Imaging Computing: Techniques and Applications, DICTA 2005
EditorsBrian C. Lovell, Anthony J. Maeder, Terry Caelli, Sebastien Ourselin
Place of PublicationPiscataway, NJ
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages87-94
Number of pages8
ISBN (Print)0769524672, 9780769524672
DOIs
Publication statusPublished - Dec 2005
EventDigital Imaging Computing: Techniques and Applications, DICTA - 2005 - Cairns, Australia
Duration: 6 Dec 20058 Dec 2005

Other

OtherDigital Imaging Computing: Techniques and Applications, DICTA - 2005
CountryAustralia
CityCairns
Period6/12/058/12/05

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Hamey, L. G. C., & Priest, C. (2005). Automatic number plate recognition for Australian conditions. In B. C. Lovell, A. J. Maeder, T. Caelli, & S. Ourselin (Eds.), Proceedings of the Digital Imaging Computing: Techniques and Applications, DICTA 2005 (pp. 87-94). [1578112] Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/DICTA.2005.17