DocumentCode :
598823
Title :
A real-time license plate recognition system for Saudi Arabia using LabVIEW
Author :
Al-Audah, Y.K. ; Al-Juraifani, A.K. ; Deriche, Mohamed A.
Author_Institution :
King Fahd Univ. of Pet. & Miner., Dhahran, Saudi Arabia
fYear :
2012
fDate :
15-18 Oct. 2012
Firstpage :
160
Lastpage :
164
Abstract :
License Plate Recognition (LPR) systems play an important role in intelligent transportation applications. These systems have been extensively used in highway and bridge charge, ports, airports, gate monitoring, parking and toll applications, to mention a few. In this paper, we propose a real-time LPR system that uses the LabVIEW software and is based on the NI-Camera Vision System. The system adapts automatically to detect license plates from the GCC countries and identify both English & Arabic letters and Numerals. The system uses recently introduced LPs in Saudi Arabia to test the real-time operation. The system was tested using low-resolution images of just 640×480 pixels and achieved a success rate of 94% under optimal conditions. Most importantly, the processing time is under 40 ms/plate outperforming most existing systems which average around 100 ms/plate.
Keywords :
automated highways; image recognition; image resolution; natural language processing; object detection; real-time systems; traffic engineering computing; virtual instrumentation; Arabic letter; English letter; GCC countries; LabVIEW software; NI-camera vision system; Saudi Arabia; airport; bridge charge; gate monitoring; highway; intelligent transportation application; license plate detection; low-resolution image; numeral; parking application; real-time LPR system; real-time license plate recognition system; real-time operation; toll application; Accuracy; Image segmentation; Integrated optics; Licenses; Monitoring; Optical character recognition software; Particle filters;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing Theory, Tools and Applications (IPTA), 2012 3rd International Conference on
Conference_Location :
Istanbul
ISSN :
2154-5111
Print_ISBN :
978-1-4673-2585-1
Type :
conf
DOI :
10.1109/IPTA.2012.6469576
Filename :
6469576
Link To Document :
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