A Novel Approach for Fingerprint Singular Points Detection Using 2D-Wavelet

The success of many methods in fingerprint identification strongly depends on the accurate detection of singular points on the fingerprints. In this paper we propose a new approach for detecting the singular points. The method is based on measuring the maximal disturbance for direction of ridges in fingerprint images. We do not use the directional field in neighborhood of points directly so our method is comparatively fast. For this purpose we used 2D wavelet to detect high frequency components in three directions: horizontal, vertical and diagonal. The results of our experiments on different fingerprint databases confirm the ability of approach for rotation invariant, fast and accurate detection of singular points.