A two-dimensional sine quadric surface filter is constructed and designed after analyzing the texture structure of fingerprint image and the comparability between the texture structure and two-dimensional sine quadric surface pattern. To reduce the effect of marginal noise on the performance of the filter and improve the enhancement capability of the filter, the paper adopts two-dimensional Gaussian function to modulate the two-dimensional sine quadric surface filter. Finally, the paper produces the fingerprint enhancement algorithm based on two-dimensional sine quadric surface filter modulated by Gaussian function. The grouping experimental results show that the proposed fingerprint enhancement algorithm can improve the quality of fingerprint image and reduce the effect of strong noise, such as the broked texture, the scar and the conglutination in the low-quality fingerprint image.