Based on Particle Swarm Optimization real-time license plate recognition

The traditional plate character recognition algorithm for the low recognition rate and identify the shortcomings of slow, the paper used PSO algorithm optimization neural network weights and threshold parameters, resulting in greatly improved the license plate character recognition rate and Recognition speed. The experimental results indicate that the PSO algorithm optimized for real-time neural network license plate recognition, the correct identification rate of 99 percent and above, the recognition time is 0.27 s, and the recognition rate and recognition speed is superior to other traditional identification methods, and basically meet the requirements of the application.