Rapid Joint Extraction of Internal Fingerprints and Sweat Pores From OCT Volumes via Depth Projection

This paper presents REI-Net, a new AI network that quickly extracts internal fingerprints (fingerprint patterns beneath skin) and internal sweat pores from OCT (optical coherence tomography, a medical imaging technique that captures 3D images below the surface). The method is much faster than previous approaches, completing analysis in 605 milliseconds, and achieves better accuracy for biometric security applications.