导读：基于不变性联想神经网络的道路交通标志识别算法(Research on Road Traffic Sign Identification Algorithm Based on Invariance Association Neural Network)...
Feature library of colors and shapes is established. The association memory neural network model is also designed to realize the identification of invariance pattern. The method of constraint synapse weight is adopted to extract invariance feature from the images. The simulation results show that this method can realize quick splitting of traffic signs and the influence of the angle of view has been well eliminated. It has good accuracy,real-timing and robustness.
