A new method for locating fingerprint singular points based on discrete Fourier transform (DFT) of orientation field and corner detector is proposed. Orientation field is processed in frequency domain via DFT so that noise is better suppressed. Fingerprint singular points are located by corner detection and clustering based on object labeling. Novel properties, which reveals the relationship between singular points and corners, are derived based on pole/zero model of orientation field. Experimental results show improved accuracy of singular points location and a reduced processing time.