Aiming at the problem that the factors of target's background,illumination,and the relative rotation angle changes and noise result in the reduction of target recognition rate in the missile terminal guidance process of CCD capture,in combination with the multi-direction Gabor filter and RBF neural network,a target recognition algorithm based on feature matching is proposed.The algorithm uses Gabor filter to deal with the matching image,superimposed and normalized processing through the results of the multiple direction Gabor filter method,high-lighting the target contour features,and then extract the image texture of 4 types of Haar-like features,and use the trained RBF network model for recognition.Experimental results show that the algorithm can improve the recognition rate of target based on the guarantee of real time.