Full fingerprint scanner using optical coherence tomography

Anomaly Detection With Convolutional Autoencoders for Fingerprint Presentation Attack Detection

“…One of the most reliable methods for fingerprint PAD is based on optical coherence tomography (OCT) [30] sensors, which capture a 3D model of the fingertip up to two millimeter underneath the skin. In addition to PAD, this scan can be used to recover worn-out fingerprints, since it includes the inner fingerprint as well.…”

Full-fingerprint volumetric subsurface imaging using Fourier-domain Optical Coherence Tomography

“…In addition, the readily 2D information extracted from the finger does not contains as many PAD-related cues as a full 3D volumetric scan, even though it leads to smaller data amounts and as such carries the potential for faster operation. The initial efforts to develop a full volumetric fingerprint scanner have been carried out by Breithaupt et al [19] in terms of the OCT-II, however, the originally proposed design did not meet the imaging quality requirements necessary for clear visualization of the finer internal structures such as sweat glands.…”

Contrast Enhanced Subsurface Fingerprint Detection Using High-Speed Optical Coherence Tomography

“…Optical coherence tomography (OCT) is a non-invasive imaging modality capable of providing both cross-sectional and 3D tissue images [5]. Over the past decade, OCT has not only been used as a routine clinical tool for diagnosis of ophthalmic and skin diseases, but also been utilized as an imaging tool in some other fields, e.g., in forensic science for fingerprint detection [6][7][8][9][10][11][12][13][14]. Cheng et al employed a time-domain OCT (TD-OCT) to identify the artificial and real fingerprints with depth-resolved 2D and 3D fingerprint images [6].…”

“…With a spectral-domain OCT (SD-OCT), Bossen et al verified the feasibility of using papillary layer structures for fingerprint recognition [7], while Liu et al showed the applicability of using subsurface sweat glands distribution for identification [14]. By utilizing high-speed line cameras, Aum et al realized live fingerprint acquisition at a scanning rate of 92K Alines/s with a graphics processing unit (GPU) integrated onto SD-OCT for data processing [13], while Breithaupt et al achieved an acquisition rate of 80K Alines/s with a sweptsource OCT (SS-OCT) [12]. Full-field OCT (FF-OCT) was also proved to be a viable tool for fingerprint identification [8], and has been utilized either for latent fingerprint detection with minor changes [9], or for exemplar sweat pores and internal fingerprint imaging with fast speed [10] (Review on OCT as a tool for fingerprint detection could be found in [11]).…”