Star identification algorithm is the key technology of star sensor. Through the identification of observed stars, the high-precision attitude calculation of spacecraft is realized. The existing star identification algorithms usually need to select the nearest neighbor star as the starting star, which results in poor recognition accuracy due to over reliance on the selection of the starting star. In this paper, a star identification algorithm based on dynamic angle matching is proposed. The angles between neighbor stars, and the distances between neighbor stars and observation star are used as the dynamic angle features. With the help of the features, the matching score between observation star and each navigation star is calculated. Finally, the navigation star with the highest matching score is taken as the recognition result. The simulation results show that the method has high recognition rate and good robustness to noise. In the simulation experiment of 16200 simulated star images, the recognition rate of this method can reach 99.80%, and it can maintain above 97.00% under the influence of position noise, false stars and magnitude noise.