vol25No1p2a

Keywords:   Recognition, license plate recognition (LPR), optical character recognition (OCR), label plate number (LPN), image processing
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Tikrit Journal of Engineering Sciences (2018) 25(1) 8- 11

Developing Recognition System for New Iraqi License Plate

Ghassan Khazal Ali ,  Computer and Software Department, College of Engineering, Diyala University, Diyala, Iraq

DOI: http://dx.doi.org/10.25130/tjes.25.2018.02

Abstract

Because of rapid population growth and increasing need for humans to use the vehicles in the last decade. Identifying these vehicles by license plates is considered. The quick development in image processing field can solve this issue by capturing the image of these vehicles and then identify the vehicle license plate. Most traffic applications depend on Automatic detection of the license plate and identification technology such as searching for stolen vehicles, traffic control on the road, monitoring cars from entering area, some information about the vehicle, parking systems, monitor the border crossing, maximum speed or red-light violation ticket, and identify the identity of the driver etc. In this paper we try to design a system that can identify the characters of the new plates of vehicles in Iraq, which relies on image recognition. First capture the picture of the vehicle using a digital camera and recognize the text of the captured pictures using optical character recognition technology and then compared it with all vehicle plates numbers stored in the database.

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How to cite

APA: Ali, G. K. (2018). Developing recognition system for new iraqi license plate. Tikrit Journal of Engineering Sciences, 25(1), 8-11.
TJES: Ali GK. Developing recognition system for new iraqi license plate. Tikrit Journal of Engineering Sciences 2018; 25 (1): 8-11.