Fingerprint Reference Point Determination Based on Orientation Features

Abstract

In this paper, a new orientation-based method which operates in two-step, called in Dynamic Processing (DP) system, is proposed for the determination of fingerprint reference point. For the two-step operation, it uses different orientation features at different scales: block-based orientation certainty and pixel-based segmented direction map. A block-based orientation certainty is used to describe the change of a block curvature of a fingerprint, which is determined by two eigenvalues of the gradient covariance matrix and a pixel-based segmented direction map is used to find intersections emerging from the directional transition. The DP system is built through their cross-references to determine the position of reference point. While the proposed system has the pixel-based precision by virtue of using a pixel-based segmented direction map, it reduces many possible fault symptoms by virtue of using a block-based orientation certainty. The proposed technique shows better performance in accuracy rate than other previous techniques. The performance of the proposed one is verified through simulations and its analysis.