A dynamic wavelet fingerprint technique was proposed to extract nonlinear feature. The effects of parameters on the nonlinear feature extraction were investigated. The nonlinear feature was used to quantitative evaluate of micro-cracks. The proposed method was sensitive to micro-cracks.