Apply principal Gabor basis functions to extract discontinuous points from low-resolution binarized fingerprint images

Abstract

In fingerprint images, the discontinuous points include cores, deltas, minutiae, and etc. Generally, cores and deltas are applied to fingerprint classification and minutiae are to fingerprint matching. Owing to complicated processes, most researchers developed minutiae extraction algorithm from 500 dpi fingerprint images in the past. Therefore, much time is wasted before minutiae are extracted. Besides, most researchers concentrated on how to use Gabor filters to capture the continuity of ridge structures. On the contrast, we will apply Gabor filters to detect the discontinuity of ridge structures. Therefore we will develop a low-resolution and fewer steps approach to extract minutiae by using Gabor filters in this paper.