Infrared Gait Recognition Based on Radial Basis Function Neural Network
Proposes the multiple classifier fusion algorithm based on radial basis function neural network in order to improve the effect of infrared gait recognition.The infrared gait sequences are recognized respectively by applying the fuzzy classifier based on Fourier descriptor characteristic of contour line and the Bayesian classifier based on the feature of lower limb joint angles,then fuses and recognizes the obtained output information in the measure layer by using the learning and sorting function of radial basis function neural network.Simulation result shows that this algorithm can achieve more accurate classification effect.