Vehicle number plate detection: Iraqi plates

This thesis presents a system for Iraqi vehicle number plate detection. It is one of the most interesting and challenging research topics in the past few years. The system is designed to perform detection for Iraqi vehicle number plates under any environmental conditions, it is shown that the number plates have different size and shape and also have different colors. Vehicle number plate detection is mainly used to detect an object for traffic management. There is a need for intelligent system. Vehicle number plate detection is widely used for security control, detecting speeding cars, electronic toll collection and traffic law enforcement. In Iraq the most common vehicle number plates uses white color as background and black color as character color, also there are different colors like yellow color which is used as background and black color as for character color for the trucks. In this thesis we propose a system for the detection of number plates mainly for the vehicles in Iraq. This thesis presents an approach based on simple and efficient horizontal and vertical histogram operation and Robert edge detection method. After reducing noise from the input image, we try to enhance the contrast of the binarized image. In this thesis, examples of correct and incorrect results, as well as possible, practical applications of proposed method are presented, and the system was implemented on 50 car plate, and the system has successfully detected all car plates.