License Plate Location Based on Quantum Particle Swarm Optimization

This paper presents a quantum particle swarm optimization solutions for the problem of license plate location, the first image of the vehicle local area adaptive illumination compensation image preprocessing, improving the quality of the picture. Then use the YCbCr color model signals a band compression to achieve illumination compensation. Based on this paper proposes a quantum particle swarm optimization algorithm, using less number of QPSO algorithm parameters, randomness is strong, and can cover all the solution space, to ensure global convergence of the algorithm. This paper presents the results of three pieces of plate positioning images prove local feature enhancement algorithm QPSO algorithm can perform feature extraction and stable positioning works well.