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Barrier Access Control Using Sensors Platform and Vehicle License Plate Characters Recognition

1
Department of Electrical & Computer Engineering, COMSATS University Islamabad-Attock Campus, Attock 43600, Pakistan
2
Department of Computer Sciences, COMSATS University Islamabad-Attock Campus, Attock 43600, Pakistan
3
Department of Computer Science, Kean University, Union, NJ 07083, USA
*
Author to whom correspondence should be addressed.
Sensors 2019, 19(13), 3015; https://doi.org/10.3390/s19133015
Received: 16 April 2019 / Revised: 15 June 2019 / Accepted: 18 June 2019 / Published: 9 July 2019
(This article belongs to the Special Issue Vehicular Sensor Networks: Applications, Advances and Challenges)
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Abstract

The paper proposes a sensors platform to control a barrier that is installed for vehicles entrance. This platform is automatized by image-based license plate recognition of the vehicle. However, in situations where standardized license plates are not used, such image-based recognition becomes non-trivial and challenging due to the variations in license plate background, fonts and deformations. The proposed method first detects the approaching vehicle via ultrasonic sensors and, at the same time, captures its image via a camera installed along with the barrier. From this image, the license plate is automatically extracted and further processed to segment the license plate characters. Finally, these characters are recognized with the help of a standard optical character recognition (OCR) pipeline. The evaluation of the proposed system shows an accuracy of 98% for license plates extraction, 96% for character segmentation and 93% for character recognition. View Full-Text
Keywords: barrier control; sensors platform; vehicle detection; license plate recognition; raspberry-pi; features extraction; machine learning algorithms barrier control; sensors platform; vehicle detection; license plate recognition; raspberry-pi; features extraction; machine learning algorithms
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Ullah, F.; Anwar, H.; Shahzadi, I.; Ur Rehman, A.; Mehmood, S.; Niaz, S.; Mahmood Awan, K.; Khan, A.; Kwak, D. Barrier Access Control Using Sensors Platform and Vehicle License Plate Characters Recognition. Sensors 2019, 19, 3015.

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