Fingerprint Orientation Field Estimation: Model of Primary Ridge for Global Structure and Model of Secondary Ridge for Correction

摘要

Although many algorithms have been proposed for orientation field estimation, the results are not so satisfactory and the computational cost is expensive. In this paper, a novel algorithm based on straight-line model of ridge is proposed for the orientation field estimation. The algorithm comprises four steps, preprocessing original fingerprint image, determining the primary and secondary ridges of fingerprint foreground block using the top semi-neighbor searching algorithm, estimating block direction based on straight-line model of such a primary ridge and correcting the spurious block directions. Experimental results show that it achieves satisfying estimation accuracy with low computational time expense.