MFCC is widely used in Chinese digital identification. Because the amount of MFCC extracted from 0-9 is too large, the mean of model parameters which is clustered with GMM by MFCC to reduce the amount is employed as a new feature with DTW for Chinese digital identification. Simulation results demonstrate that the amount of the new feature is 30.9% to that of MFCC, the running time reduces by 237.18s, but the recognition rate decreases by 1.11%.