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Establishing the common pattern of the traditional Chinese medicine fingerprint signal is an important problem for the evaluation in herbal medicine field. This study deals with the application of support vector machine regression combined with discrete wavelet transform in creating the common pattern of fingerprint signal. The original signal was first decomposed to different scales by discrete wavelet transform constructed by lifting scheme, and then the decomposed signal components were approximated by different kernel function of support vector machine regression. The real-life samples is used for the experiment to train and test the support vector machine regression in achieving the common pattern, the result shows that the approach proposed in this study is a useful method in establishing the common pattern of fingerprint signal.