To further improve the edge subpixel location accuracy of an image,a algorithm for edge location based on high-order orthogonal Jacobi-Fourier moments(OJFM’s) is proposed.The rotation invariance and special features of Orthogonal Jacobi-Fourier moments are used to fully extract the characteristics of an edge,while the noises in image is efficiently diminished.The edge location is accomplished by analyzing the relationships among three moments of the edge with setting the edge in vertical direction.The effectiveness of the proposed algorithm is verified through experiment,and the location accuracy is up to 0.05 pixels,0.08 pixels and 0.13 pixels for standard line,standard circle image and actual experimental image respectively.