Deep Learning-Based Semantic Segmentation for Touchless Fingerprint Recognition.

Fingerprint recognition is one of the most popular biometric technologies. Touchless fingerprint systems do not require contact of the finger with the surface of a capture device. For this reason, they provide an increased level of hygiene, usability, and user acceptance compared to touch-based capturing technologies. Most processing steps of the recognition workflow of touchless recognition systems differ in comparison to touch-based biometric techniques. Especially the segmentation of the fingerprint areas in a 2D capturing process is a crucial and more challenging task.