ACKNOWLEDGMENT We would like express our heartiest gratitude towards our supervisor Avijit Das, Lecturer of the department of Electrical and Electronic Engineering of BRAC University, for laying the foundation of our thesis project and providing valuable insight and guidance at each and every step of the development process. We are extremely fortunate and grateful to be able to work under his direct supervision. We want to thank him for continuous belief on us and frequent motivation to

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... our project in time. This is the project of Md Nafiz Ahmed, Aminul Islam, Toaha Hasnain, Iffat Tabassum, students from the Electrical and Electronic Engineering department of BRAC University. We would like to express our gratitude to the Almighty who gave us strength, determination, intelligence, help and opportunity to complete this project. We would also like to thank our family and friends for their continuous support and encouragement throughout the whole process of working for so long. Their cooperation made us becoming determined to achieve our goals. Last of all, our gratitude goes towards the faculty members of Department of Electrical and Electronic Engineering, BRAC University who provided us all of necessary and essential knowledge, concepts, ideas, support and tools that aided us to successfully complete our thesis project. 4 ABSTRACT A license plate detect system is one type of intelligent transportation system. It is a type of technology in which the software enables computer system to read automatically the license number plate of vehicle from digital pictures. Reading automatically the number plate means converting the pixel information of digital image into the ASCII text of the number plate. The main objective is to use same operations repeatedly in such a way that the number plate of vehicle can be identified accurately. As the problem of urban traffic congestion spreads, there is a pressing need for the introduction of advanced and to the technology equipment improve state of the control traffic nowadays and traffic problem increasing because the growing of are vehicles and we also have limited resource providing by current infrastructure. The simplest way to solve it is traffic monitoring system. Another way is to use electronic sensors in order to detect vehicles, and produce signal that cycles. We propose a system for controlling the traffic light by image processing. The system will detect vehicles through images instead of using electronic sensors embedded in the pavement. A camera will be installed alongside the traffic light. It will capture image sequences.