Swift Fingerprint Enhancement Technique with Parabolic Mask Filtering Algorithm

The purpose of the fingerprint image enhancement technique is to enhance image quality by eliminating noise while preserving essential minutiae points. This study introduces a rapid fingerprint enhancement algorithm that combines local ridge orientation estimation, local frequency estimation, and parabolic mask filtering techniques. The algorithm underwent testing on diverse fingerprint images, with findings demonstrating its effectiveness in significantly improving raw fingerprint images, particularly those of low quality, within a shorter execution time.