As for the eigen value extracted by the existing methods could not fle xibly adapt to the change of image textures,leading to lower recovery quality of tampered images,an image blocks classification watermarking method for tamper detection and recovery is proposed.Firstly of al l,the original host image is divided into 3×3sub blocks;then the variance of sub blocks and Canny edge det ection algorithm are adopted to mark these sub blocks into smooth blocks,rough blocks and edge blocks.According to these sub image types,the eigen value could be adaptively generated.Finally,the Torus automor phismis algorithm is used to find the position of mapping blocks.In the meantime,the tampered images could be re covered adaptively based on sub images type.If the image has not been tampered,the peak signal-to-noise ratio (PSNR) can be improved by 5.60% compared with existing method.Experimental results show that compared with previous similar schemes,the proposed method can more accurately produce recover y watermarking information,make better improvement on the recovery quality of the tampered image and effectively reduce the distortion of watermark ing image.The presented method can be applied in many fields,including the areas of medicine,military,and satellites.