Design and Implementation of Number Plate Recognition System Based on Cortex-M3

This design is based on the FPGA platform and builds an automatic number plate recognition system with an on-chip Cortex-M3 core, and collects the number plate photo through the OV5640 camera, and converts it into a digital signal for the image processing module. The image processing module can obtain a clear binary image after gray-scale processing, binarization processing and median filtering. Then it determines the position and character information of the number through vertical and horizontal projection and numerical recognition. The numerical result obtained by the recognition is input to Cortex-M3 through the AHB bus, and the program can be programmed and debugged using keil software on the PC side, and finally the number plate recognition result is displayed on the LCD. The recognition speed of the number plate recognition system reaches 0.4 seconds per picture, and the average correct rate reaches more than 98.5%, achieving the overall performance goal of the system.