An algorithm of target matching based on fuzzy metric is proposed. The wavelet coefficients with different scales and orientations are normalized by means of complex wavelet transform, which can eliminate effect of illumination and scale change. Texture feature could be constructed from these normalized wavelet coefficients through cycle shift. The weights of different features are determined according to a principle of fuzzy attribute degree. The characteristics of complex wavelet that have properties of multi-scales and multi-resolutions effectively describe the characteristics of energy distribution. The experimental results show that the algorithm can effectively match target while the target changes relatively under background and its performance also supers to the approach based on gray-level region correlation.