[1] Christos NE. Anagnostopoulos, IE. Anagnostop-oulos, VL, Eleftherios K. A license plate-recognition algorithm for intelligent transportation system applications. Browse Journals & Magazines 2006; 7 (3): 377-392.
[2] Öztürk F, Özen F. A new license plate recognition system based on probabilistic neural networks. Procedia Technology 2012; 1: 124-128.
[3] Roy A, Ghoshal DP. Number plate recognition for use in different countries using an improved segmenation. IEEE in 2nd National Conference on Emerging Trends and Applications in Computer Science (NCETACS) 2011, 4-5 March; India: pp. 1-5.
[4] Chen Z-X, Liu C-Y, Chang F-L, Wang G-Y. Automatic license-plate location and recognition based on feature salience. IEEE Transactions on Vehicular Technology 2009; l (7): 3781-3785.
[5] Wen Y et al. An algorithm for license plate recognition applied to intelligent transportation system. IEEE Transactions of Intelligent Transportation Systems 2011; 12 (3): 1-16.

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, Diyala University, Iraq


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.

Download Full-text PDF

Keywords: Recognition, license plate recognition (LPR), optical character recognition (OCR), label plate number (LPN), image processing.

How to cite

TJES: Ali GK. Developing recognition system for new iraqi license plate. Tikrit Journal of Engineering Sciences 2018; 25 (1): 8-11.
APA: Ali, G. K. (2018). Developing recognition system for new iraqi license plate. Tikrit Journal of Engineering Sciences, 25(1), 8-11.
Loader Loading...
EAD Logo Taking too long?
Reload Reload document
| Open Open in new tab

Download [1.04 MB]