Internal Fingerprint Imaging System Based on Full Field Optical Coherence Tomography

Wei Li, Haixia Wang, Haohao Sun, Yilong Zhang, Peng Chen, Nan Gao, Yuanjie Dang

Abstract: Fingerprints is one of the most widely used biometric features, but its performance is affected by unstable quality and vulnerability to counterfeiting. Internal fingerprints from active epidermal layer can supplement external ones better, which captured by optical coherence tomography (OCT). But its point-scanning method limits imaging speed. Full-field optical coherence tomography (FF-OCT), evolved from OCT, can capture full-surface information in one scan. In order to obtain fingerprints that can be used for high anti-counterfeiting, we propose an internal fingerprint imaging system based on FF-OCT, which uses differences in scattering intensity within finger internal structures to perform layer-by-layer tomography and rapidly acquire internal fingerprints. By improving the optical path and system, we obtained information on the internal structure of the finger. Combined with corresponding scanning and processing algorithms, we can quickly generate internal fingerprint images. This work lays a foundation for the subsequent application of FF-OCT in fingerprint recognition and anti-counterfeiting.