Automatic number plate recognition for Australian conditions

Leonard G C Hamey; Colin Priest

doi:10.1109/DICTA.2005.17

Automatic number plate recognition for Australian conditions

Leonard G C Hamey^*, Colin Priest

^*Corresponding author for this work

School of Computing

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

25 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 language	English
Title of host publication	Proceedings of the Digital Imaging Computing: Techniques and Applications, DICTA 2005
Editors	Brian C. Lovell, Anthony J. Maeder, Terry Caelli, Sebastien Ourselin
Place of Publication	Piscataway, NJ
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	87-94
Number of pages	8
ISBN (Print)	0769524672, 9780769524672
DOIs	https://doi.org/10.1109/DICTA.2005.17
Publication status	Published - Dec 2005
Event	Digital Imaging Computing: Techniques and Applications, DICTA - 2005 - Cairns, Australia Duration: 6 Dec 2005 → 8 Dec 2005

Other

Other	Digital Imaging Computing: Techniques and Applications, DICTA - 2005
Country/Territory	Australia
City	Cairns
Period	6/12/05 → 8/12/05

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10.1109/DICTA.2005.17

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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). Article 1578112 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/DICTA.2005.17

@inproceedings{a7fa245dce204ba894231618d3fa1f9e,

title = "Automatic number plate recognition for Australian conditions",

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.",

author = "Hamey, {Leonard G C} and Colin Priest",

year = "2005",

month = dec,

doi = "10.1109/DICTA.2005.17",

language = "English",

isbn = "0769524672",

pages = "87--94",

editor = "Lovell, {Brian C.} and Maeder, {Anthony J.} and Terry Caelli and Sebastien Ourselin",

booktitle = "Proceedings of the Digital Imaging Computing: Techniques and Applications, DICTA 2005",

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

address = "United States",

note = "Digital Imaging Computing: Techniques and Applications, DICTA - 2005 ; Conference date: 06-12-2005 Through 08-12-2005",

}

Hamey, LGC & Priest, C 2005, Automatic number plate recognition for Australian conditions. in BC Lovell, AJ Maeder, T Caelli & S Ourselin (eds), Proceedings of the Digital Imaging Computing: Techniques and Applications, DICTA 2005., 1578112, Institute of Electrical and Electronics Engineers (IEEE), Piscataway, NJ, pp. 87-94, Digital Imaging Computing: Techniques and Applications, DICTA - 2005, Cairns, Queensland, Australia, 6/12/05. https://doi.org/10.1109/DICTA.2005.17

Automatic number plate recognition for Australian conditions. / Hamey, Leonard G C; Priest, Colin.
Proceedings of the Digital Imaging Computing: Techniques and Applications, DICTA 2005. ed. / Brian C. Lovell; Anthony J. Maeder; Terry Caelli; Sebastien Ourselin. Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), 2005. p. 87-94 1578112.

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

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AB - 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.

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Automatic number plate recognition for Australian conditions

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