Vision-Based Parking Entry Control System

Authors

  • Ahmad Ridhwan Wahap utm
  • Shahrulnafiin Saharudin utm

DOI:

https://doi.org/10.11113/elektrika.v17n2.98

Abstract

Vision-based control systems are very promising in the Intelligent Transportation System (ITS). This paper proposes a system that use the vision system to control vehicle entry at the bridge gate at a certain facility. The system detects the presence of the car and captures the front car image to proceed to plate recognition process. Vehicle plate region is extracted using the size filtering, image thresholding and object counting algorithms. Optical character recognition technique is used in the recognition module. The result from the recognition module is then compared to the record in the database for information like the vehicle owner name, type of car, etc. The overall system is implemented and simulated in LabVIEW and the performance of recognition is tested on the real image. The system can successfully detect and recognize the plate number with minimum error.

References

Tan, J. L., & Abu-Bakar, S. R. (2012, November). A design method for Malaysian car plates character segmentation based on skew correction. In Control System, Computing and Engineering (ICCSCE), 2012 IEEE International Conference on (pp. 188-193). IEEE.

Changalasetty, S. B., Badawy, A. S., Ghribi, W., & Thota, L. S. (2014, April). Identification and feature extraction of moving vehicles in LabVIEW. In Communications and Signal Processing (ICCSP), 2014 International Conference on (pp. 1885-1889). IEEE.I.S. Jacobs and C.P. Bean, “Fine particles, thin films and exchange anisotropy,†in Magnetism, vol. III, G.T. Rado and H. Suhl, Eds. New York: Academic, 1963, pp. 271-350.

Kuldeepak, M. K., & Vashishath, M. (2012). License Plate Recognition System based on Image Processing Using LabVIEW. International Journal of Electronics Communication and Computer Technology (IJECCT), 2(4).

Qadri, M. T., & Asif, M. (2009, April). Automatic number plate recognition system for vehicle identification using optical character recognition. In Education Technology and Computer, 2009. ICETC'09. IEEE International Conference on (pp. 335-338). IEEE.

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Published

2018-08-29

How to Cite

Wahap, A. R., & Saharudin, S. (2018). Vision-Based Parking Entry Control System. ELEKTRIKA- Journal of Electrical Engineering, 17(2), 30–34. https://doi.org/10.11113/elektrika.v17n2.98

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Section

Articles