Objective method to evaluate the fabric wrinkle properties has been studied by using Image Analysis System and the results has been companied with the AATCC Wrinkle Recovery Replicas. The image of each replica was obtained through image capturing system, then the noise in the image was reduced using Gaussian and Median filters. The parameters which well describe the quantity of fabric wrinkle were defined, and the objective evaluation of degree of wrinkle was obtained using those parameters. The grey intensity in the grey scale image was assumed to be the relative height of fabric wrinkle. Those defined parameters are the deviation of grey intensity at each profile of horizontal scanning of grey scale image, total numbers of peak points which the wave of profile are tumid at each profile, and the numbers of peak point in fixed uniform domains. Another parameter defined was the sharpness of wrinkle crimp. In the method of projecting grid phase analysis, the uniform grid on the replica surface was made first, then the gridded image of each replica was captured, and the projecting grid phase was analyzed. The 3-D shape of the wrinkle of each replica was reconstructed with the data obtained from the deformation ratios of grid lines. Based on the reconstructed 3-D information of each replica, the degree of wrinkle in the fabric was qualltified using the parameters defined to describe the degree of wrinkle. By examining the parameters obtained for each of the five replicas at the method of grey scale image and projecting grid phase analysis, the quantified wrinkle degrees among these five standard replicas show good relationship of logarithmic function.