Abstract
The advanced systems of control and traffic management, which are part of the contemporary Intelligent Transportation Systems, are utilizing sophisticated technology enabling automatic license plate recognition. Systems of Automatic License Plate Recognition (ALPR) are used in the process of search for stolen vehicles, recording the time of entry of the vehicle, identification of users who violate road traffic regulations, etc. In each of these applications extremely important issue is the reliability and quality of data identification which are the basis for the detection of mentioned events. The basis of ALPR systems operation is the acquisition of data from the monitoring systems, which provide detection and identification of objects. Achieving the full functionality of the ALPR system requires consideration of factors that affect the efficiency of the image analysis as well as objects detection and identification processes. The main research problem considered in this paper is to analyse the impact of mentioned factors on the quality and reliability of the license plate recognition process.
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References
Nowacki, G.: Road transport telematics. Institute of Motor Transport, Warsaw, Poland (2008)
Chang, S.L., et al.: Automatic license plate recognition. IEEE Trans. Intell. Transp. Syst. 5(1), 42–53 (2004)
Siergiejczyk, M., Paś, J., Rosiński, A.: Application of closed circuit television for highway telematics. In: Mikulski, J. (ed.) TST 2012. CCIS, vol. 329, pp. 159–165. Springer, Heidelberg (2012). doi:10.1007/978-3-642-34050-5_19
Siergiejczyk, M., Paś, J., Rosiński, A.: Evaluation of safety of highway CCTV system’s maintenance process. In: Mikulski, J. (ed.) TST 2014. CCIS, vol. 471, pp. 69–79. Springer, Heidelberg (2014). doi:10.1007/978-3-662-45317-9_8
Tadeusiewicz, R., Korohoda, P.: Computer Analysis and Image Processing. Telecommunications Advancement Foundation Publisher, Krakow (1997)
Gonzalez, R., Woods, R.: Digital Image Processing. Prentice-Hall, Upper Saddle River (2002)
Russ, C.: The Image Processing Handbook. CRC Press, Boca Raton (2007)
Miklasz, M., Nowosielski, A., Kawka, G.: Automatic plate recognition in supervision of road traffic. Highw. Mag. 10, 64–72 (2010). Elamed Media Group, Poland
JavaANPR project. http://javaanpr.sourceforge.net. Accessed 02 Feb 2017
DTK ANPR SDK. http://www.dtksoft.com/dtkanpr.php. Accessed 02 Feb 2017
Simple-LPR. http://www.warelogic.com. Accessed 02 Feb 2017
Łubkowski, P., Laskowski, D., Maślanka, K.: On supporting a reliable performance of monitoring services with a guaranteed quality level in a heterogeneous environment. In: Zamojski, W., Mazurkiewicz, J., Sugier, J., Walkowiak, T., Kacprzyk, J. (eds.) Theory and Engineering of Complex Systems and Dependability. AISC, vol. 365, pp. 275–284. Springer, Cham (2015). doi:10.1007/978-3-319-19216-1_26
Lubkowski, P., Laskowski, D., Pawlak, E.: Provision of the reliable video surveillance services in heterogeneous networks. In: Safety and Reliability: Methodology and Applications - Proceedings of the European Safety and Reliability Conference, ESREL 2014, pp. 883–888. CRC Press, Balkema (2014)
Study the usefulness of camera points ART (Automated Number Plate Recognition) to monitor bus lanes in the Capital City Warsaw, Research report, Motor Transport Institute (ITS), Poland (2011)
Acknowledgement
The work has been supported by the European Regional Development Fund within INSIGMA project no. POIG.01.01.02,00,062/09.
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Łubkowski, P., Laskowski, D. (2017). Assessment of Quality of Identification of Data in Systems of Automatic Licence Plate Recognition. In: Mikulski, J. (eds) Smart Solutions in Today’s Transport. TST 2017. Communications in Computer and Information Science, vol 715. Springer, Cham. https://doi.org/10.1007/978-3-319-66251-0_39
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DOI: https://doi.org/10.1007/978-3-319-66251-0_39
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