The authors have been involved in real world analysis of Automatic Number Plate Recognition (ANPR) data and systems particularly for law enforcement applications. As a result of such work with Law Enforcement Agencies, contributions have been made to the revision of the British Standards for ANPR. This led to the research team developing performance evaluation measures from an end-to-end system perspective. One such measure was the generation of synthetic image datasets suitable for ANPR performance evaluation. The prime requirement for any ANPR system is data accuracy. This paper reports the initial work and progress made using defined synthetic images to test and assess ANPR engines using a structured methodology.
Original languageEnglish
Title of host publicationIEEE International Carnahan Conference on Security Technology (ICCST)
Subtitle of host publicationIEEE ICCST2022
Place of PublicationValeč u Hrotovic, Czech Republic
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Number of pages6
ISBN (Electronic)978-1-6654-9363-5
ISBN (Print)978-1-6654-9364-2
Publication statusPublished - 26 Sept 2022
EventThe 55th Annual International Carnahan Conference on Security Technology (ICCST 2022) - Valez, Czech Republic
Duration: 7 Sept 20229 Sept 2022


ConferenceThe 55th Annual International Carnahan Conference on Security Technology (ICCST 2022)
Abbreviated titleIEEE ICCST 2022
Country/TerritoryCzech Republic
Internet address


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