Roads and Bridges - Drogi i Mosty
13, 4, 2014, 393-408

The possibilities of assessing the efficacy and comparison of the license plate recognition systems

Mariusz Rychlicki Mail
Warsaw University of Technology, Faculty of Transport
Tomasz Kwiatkowski Mail
Warsaw University of Technology, IT Center
Published: 2015-02-13

Abstract

The paper consists of a review and the characteristics of contemporary methods of vehicle registration plate recognition. Their high and increasingly growing importance for the use in intelligent transport systems has been discussed. Their large impact on improving traffic safety and the development of related systems, such as weighing vehicles in motion, have been emphasized. Attention has been paid to the existing problems in the evaluation of the effectiveness and comparison of such systems. The nature of the problem has been indicated, which consists in the fact that manufacturers and suppliers of such solutions overrate the effectiveness of the recognition, declared to be even 100%. For obvious reasons, it raises questions and poses practical problems. For this reason, the paper presents a method for assessing the license plate recognition systems, which might contribute to their practical comparison and determination of the real level of effectiveness. The implementation of the method in the tool application has been performed and the analysis of the obtained results has been carried out. A design of the test stand has been proposed, that would enable the evaluation of such solutions in the laboratory conditions.

Keywords


effectiveness, efficiency, intelligent transport systems, systems of recognizing license plates, transport

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References


Du S., Ibrahim M., Shehata M., Badawy W.: Automatic License Plate Recognition (ALPR): A State-of-the-Art Review. IEEE Transactions on Circuits and Systems for Video Technology, 23, 2, 2013, 311-325

Anagnostopoulos Ch., Anagnostopoulos I., Loumos V., Kayafas E.: A License Plate-Recognition Algorithm for Intelligent Transportation System Applications. IEEE Transactions on Intelligent Transportation Systems, 7, 3, 2006, 377-392

Balazs E., Lajos K., Kalman F. : Real Time Number Plate Localization Algorithms. Journal of Electrical Engineering, 57, 2, 2006, 69-77

Iwanowski M.: Zastosowanie morfologii matematycznej do wykrywania obszarów o zadanych cechach na obrazach cyfrowych. IMIO PW, Materiały V Sympozjum Naukowego – Techniki Przetwarzania Obrazu, Serock 16-18.11.2006, 270–281

Hansen H., Kristensen A., Kohler M., Mikkelsen A., Pedersen M., Trangeled M.: Automatic recognition of license plater. Institute for Electronic System, Aalborg University, 2002

Enyedi B., Konyha L., Fazekas K.. : Real Time Number Plate Localization Algorithms. Journal of Electrical Engineering, 57, 2, 2006, 69-77

http://home.agh.edu.pl/~vlsi/AI/wstep1/model.html

(dostęp na dzień 27.04.2014)

Ochmański M., Bzówka J.: Wybrane przykłady zastosowań sztucznych sieci neuronowych w geotechnice. Budownictwo i Inżynieria Środowiska, 4, 2013, 287-294

http://ai.c-labtech.net/sn (dostęp na dzień 27.04.2014)

http://www.dtksoft.com/dtkanpr.php (dostęp na dzień 23.07.2014)


The possibilities of assessing the efficacy and comparison of the license plate recognition systems

  
Rychlicki, Mariusz; Kwiatkowski, Tomasz. The possibilities of assessing the efficacy and comparison of the license plate recognition systems. Roads and Bridges - Drogi i Mosty, [S.l.], v. 13, n. 4, p. 393-408, feb. 2015. ISSN 2449-769X. Available at: <>. Date accessed: 20 Apr. 2024. doi:http://dx.doi.org/10.7409/rabdim.014.024.


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