Fingerprint Orientation Estimation

Orientation estimation is a fundamental step in most fingerprint recognition algorithms. This software implements an adaptive method based on local gradient information: a first estimation is performed and the average local consistency (strength) of orientations is used as a quality metric to determine the window size for the final estimation. Experimental results on the FOE benchmark show that the performance of this software is better than other baseline algorithms exploiting gradient information.