To address the problem of merging the multiple meshes of the same human ear, which is scanned from different perspectives, this paper proposes a novel approach-patch removing, for merging 3D ear meshes. First, kd-tree is used to segment the two registration meshes of 3D ear into un-overlapping area and overlapped area. Then, the un-overlapping area and overlapping are segmented into blocks according to their connectivity. Next, the redundant patch in the overlapping area is discarded, thus establishing the points on the boundary of blocks. Finally, to merge the 3D ear meshes, the mesh blocks in the un-overlapping area and the rest of the overlapping area are stitched along the boundary points. Experimental results show that, comparing with other works, the proposed algorithm can merge the 3D ear meshes more effectively with higher computational efficiency.