Two of the most critical requirements for the development of license plate recognition (LPR) systems are a comprehensive database of license plate images and a testing procedure to evaluate the system. This study addresses both issues through the LPR system test (LPRST), which establishes the first performance benchmark for the LPR system. There are three important parts in the study: (i) the comprehensive, structured and labelled license plate image database is established, which is openly available to researchers; (ii) the first technical evaluation protocol for the LPR system is established, in which the testing technology has a corresponding relation to the testing image label; (iii) the LPRST is the first open technical performance evaluation of commercial systems, which identify the strengths and weakness of the existing systems, and the future areas of research in the field of LPR.
Evaluation methodology for license plate recognition systems and experimental results
IET Intelligent Transport Systems ; 12 , 5 ; 375-385
2018-02-28
11 pages
Article (Journal)
Electronic Resource
English
image label testing , performance benchmark , comprehensive license plate image database , LPR system test , evaluation methodology , commercial systems , structured license plate image database , technical evaluation protocol , technical performance evaluation , license plate recognition systems , labelled license plate image database , visual databases , protocols , traffic engineering computing , comprehensive database , image recognition , testing technology
Metadata by IET is licensed under CC BY 3.0
Evaluation methodology for license plate recognition systems and experimental results
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