Complementary Variance Energy for Fingerprint Segmentation

摘要

The paper presents a method for fingerprint segmentation, which executes in two phases. The enrolled image is partitioned into block by block and a preliminary segmentation is firstly carried out based on thresholding the blockwise variance. Afterwhich, the segmentation result is refined by energy information, where the blocks with the most "reliable" energy are selected to polish the preliminary result and yield the final segmentation map. Reliability of the method has been demonstrated using NIST and FVC data sets. Comparison with other methods is presented.