Since occlusion will be present in all but the most constrained environments, the recognition of partially occluded objects is of prime importance. However, almost all of the existing algorithms which resolve the occlusion problem are complicated and require extensive computation. We thus try to develop a recognition system with moderate cost and speed, and a high rate of recognition. In this paper, we present a hierarchical type problem solving technique to match models to objects in the image. The hierarchical object recognition can be divided into two stages: