Target recognition based on forward-looking imaging has many potential applications. However, the conventional algorithms fail to locate targets accurately due to the low resolution of forward-looking radar images. Meanwhile, the conventional algorithms always suffer from high computational complexity and cannot satisfy the requirement of real-time processing for high-speed platform. This paper proposes a novel target recognition method based on morphological and spatial features. The algorithm comprises of initial matching and dual verification algorithms based on image gray scale and a priori position information. It is demonstrated that the proposed algorithm can work well for the forward-looking radar images with coarse resolution and enjoy higher computational efficiency. Simulation and real data processing validates the superior performance of the proposed algorithm.