Fast subsurface fingerprint imaging with full-field optical coherence tomography system equipped with a silicon camera

TL;DR

This paper introduces a cost-effective full-field optical coherence tomography system with a silicon camera capable of rapidly capturing high-resolution subsurface fingerprint images, enhancing biometric identification especially when surface quality is compromised.

Contribution

The paper presents a novel, inexpensive FF-OCT system with high speed and sensitivity for deep fingerprint imaging, outperforming traditional surface-based methods.

Findings

Captured high-resolution subsurface images in 0.12 seconds

Achieved an equal-error-rate of approximately 0.8% in biometric testing

Demonstrated potential for other deep-tissue imaging applications

Abstract

Images recorded below the surface of a finger can have more details and be of higher quality than the conventional surface fingerprint images. This is particularly true when the quality of the surface fingerprints is compromised by, for example, moisture or surface damage. However, there is an unmet need for an inexpensive fingerprint sensor that is able to acquire high-quality images deep below the surface in short time. To this end, we report on a cost-effective full-field optical coherent tomography (FF-OCT) system comprised of a silicon camera and a powerful near-infrared LED light source. The system, for example, is able to record 1.7 cm x 1.7 cm en face images in 0.12 s with the spatial sampling rate of 2116 dots per inch and the sensitivity of 93 dB. We show that the system can be used to image internal fingerprints and sweat ducts with a good contrast. Finally, to demonstrate its biometric performance, we acquired subsurface fingerprint images from 240 individual fingers and estimated the equal-error-rate to be ~0.8 %. The developed instrument could also be used in other en face deep-tissue imaging applications because of its high sensitivity, such as in vivo skin imaging.