An Automatic Traffic Control System based on Simultaneous Persian License Plate Recognition and Driver Fingerprint Identification

Traffic control systems such as traffic lights play an inevitable role in the current world's transportation guidance and driving fluency. In this paper, an automatic traffic control system based on advance software architecture is proposed. In the proposed architecture, automatic car plate recognition and driver verification based on fingerprint biometric are mixed with each other. The license plate recognition part is adapted for Persian or Farsi characters. The persian or farsi characters recognition is done by a very simple Normalized cross correlation which is very analogous to Euclidian distance criterion. To improve the functionality of this platform, some special and innovative digital image processing are employed so that the program is able to extract and recognize the car plate and its related characters even if in the low light or shiny conditions. The fingerprint recognition system is also added to the proposed traffic control system to ensure the authority of the car driver to enter to the places with high privacy and security limitations. The simulation results demonstrate the efficiency and suitable performance of the proposed automatic traffic control system.