In this paper, an offline Chinese signature identification system based on a two stages classifier is built. It adopted pseudo feature and shape feature extraction. The emphasis of shape feature is the pseudo-Zernike moment with rotation, scale and translation invariance and anti-noise character. The pseudo dynamic features high gray feature (HPF), framework aspect gray feature, and gray barycenter feature. It has been proved that the identification of 2-pass system can save a lot of time for identification except in improving the recognition rate.