A target recognition method based on contour curvature and affine invariant moments is proposed, which is applicable for complex high-noise scenes such as laser active imaging system. By calculating the curvature of the pixels and their neighborhood, the information the pixels contain is determined, and then the pixels are classified. For the pixels belonging to different classes, Lee filter with different filter parameters are adopted. After the filtering, the contours of the object are extracted and the affine invariant moments are calculated, so as to train the classifier and identify the object. Experimental results indicate that the proposed method has a high recognition rate for affine object under high-noise conditions and meets the real-time performance requirement of laser active imaging recognition systems.