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
01.06.2018
11 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
evaluation methodology , testing technology , comprehensive database , visual databases , technical evaluation protocol , image label testing , protocols , comprehensive license plate image database , LPR system test , traffic engineering computing , image recognition , structured license plate image database , technical performance evaluation , performance benchmark , commercial systems , license plate recognition systems , labelled license plate image database
Evaluation methodology for license plate recognition systems and experimental results
IET | 2018
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