The technology proposed in the image target recognition consists of image segmentation,invariant feature extraction and target classification. In this paper,a knowledge-based approach is proposed for adaptive image segmentation. Invariant features about image targets are extracted by Zernike moments.object classification is completed by the MPNN model.The experimental results show that the proposed system can be used to recognize objects from the complicated background.