A Singular Point Detection Algorithm Based on the Transition Line of the Fingerprint Orientation Image

A new algorithm for identifying and locating singular points on a fingerprint image is presented. This algorithm is based on properties of the fingerprint orientation image, including a feature defined as a transition line. The transition line is shown to provide an efficient means of both tracking and classifying singular points without having to search through the entire fingerprint image. The algorithm is shown to be precise and its performance is evaluated using three measures, namely, the detection accuracy (DA), the detection time (DT ) and a Humanversus-Algorithm (HvA) score. Using a dataset from the Fingerprint Verification Competition 2002 (FVC 2002), the performance of the algorithm is: DA = 89.6 %, DT = 0.48 s and HvA = 0.92.