Automatic Number Plate Recognition Application for Metropolitan Toll Road Payment System

Deanova Ghivari Alzamora; Habib Saifuddin Fathoni; Vivi Bella Callista

doi:10.4028/p-tjbkpy

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 912Automatic Number Plate Recognition Application for...

Automatic Number Plate Recognition Application for Metropolitan Toll Road Payment System

Abstract:

Many factors cause congestion on toll roads, one of which is service time at toll gates. Maximum service times for each vehicle be regulated by Indonesia Toll Authority to no more than 6 seconds for the open transaction toll system. There-fore, an electronic toll road payment system integrated with ANPR (Automatic Number Plate Recognition) technology is proposed. The proposed system can identify vehicle plates automatically to make payments. The Optical Character Recognition (OCR) method was chosen in this study for recognizing the number plate. ANPR with Tesseract OCR is placed inside the computer. Based on the results of the analysis and testing that has been carried out, the low average accuracy of 63,14% from this research is small due to the small number of sample images. The average execution times of 1405 milliseconds from this research are be-low the maximum 6 seconds limit for open transaction toll collection in Indonesia. One failed plate localization from sample images has founded in a car image with number plate DK 1547 EC.

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Periodical:

Applied Mechanics and Materials (Volume 912)

Pages:

85-89

DOI:

https://doi.org/10.4028/p-tjbkpy

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Online since:

February 2023

Authors:

Deanova Ghivari Alzamora*, Habib Saifuddin Fathoni, Vivi Bella Callista

Keywords:

Automatic Number Plate Recognition, Optical Character Recognition, Toll Road

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* - Corresponding Author

References

[1] M. Roberts, F.G. Sander, S. Tiwari, Time to act: realizing Indonesia's urban potential. first ed., The World Bank, Washington, (2019).

Google Scholar

[2] TomTom Traffic Index, https://www.tomtom.com/en_gb/traffic-index/jakarta-traffic (accessed February 10, 2021).

Google Scholar

[3] Peraturan Menteri Pekerjaan Umum dan Perumahan Rakyat Nomor 16/PRT/M/2017 Tentang Transaksi Tol Nontunai di Jalan Tol.

DOI: 10.31293/lg.v5i2.5109

Google Scholar

[4] A. Badr, M.M. Abdelwahab, A.M. Thabet, A.M. Abdelsadek, Automatic number plate recognition system, Annals of the University of Craiova-Mathematics and Computer Science. 38.1 (2011) 62-71.

Google Scholar

[5] P. Comelli, P. Ferragina, M.N. Granieri, F. Stabile, Optical recognition of motor vehicle license plates, IEEE transactions on Vehicular Technology. 44.4 (1995) 790-799.

DOI: 10.1109/25.467963

Google Scholar

[6] S.V. Rice, F.R. Jenkins, T.A. Nartker, The fifth annual test of OCR accuracy, Los Angeles: Information Science Research Institute (1996) 1-48.

Google Scholar