2015
DOI: 10.1117/1.jei.24.2.023027
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Internal fingerprint zone detection in optical coherence tomography fingertip scans

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Cited by 26 publications
(14 citation statements)
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“…where k -the conductance parameter, n it -the number of iterations, dt -the time step that should fulfil the Courant-Friedrichs-Lewy (CFL) stability condition [23] evaluated for N = 3 dimensional OCT image as dt ≤ 0.5/2 N . This model, shown in [6], was experimentally verified in the tested OCT images. Fig.…”
Section: Image Noise Reductionmentioning
confidence: 81%
See 1 more Smart Citation
“…where k -the conductance parameter, n it -the number of iterations, dt -the time step that should fulfil the Courant-Friedrichs-Lewy (CFL) stability condition [23] evaluated for N = 3 dimensional OCT image as dt ≤ 0.5/2 N . This model, shown in [6], was experimentally verified in the tested OCT images. Fig.…”
Section: Image Noise Reductionmentioning
confidence: 81%
“…The algorithm parameters and the timing of its various stages were also discussed. The main novelty in the paper relays on speckle noise reduction by high quality spatial image filtering [10] and on using fast cubic spline method instead of commonly used autocorrelation to get continuous and smooth papillary junction edge profiles [5,6]. The traditional detection of the voxel locations on such edges as A-scan peaks has been extended by the identification of many outlier data and the estimation of their proper locations.…”
Section: Introductionmentioning
confidence: 99%
“…At the limit between characterization and biometrics, OCT has been used to provide internal fingerprint images that cannot be counterfeited [68][69][70][71]. In the case of B-mode OCT an en face image must be deduced from a 3-D acquisition.…”
Section: Applications Of En Face Tomo-microscopy: From Diagnosis To Artmentioning
confidence: 99%
“…One example is the use of OCT for the purposes of enhancing fingerprint technology. [11][12][13][14] The presence of a subsurface fingerprint (sometimes called the primary fingerprint) at the epidermis-dermis boundary, which is an exact copy of the surface (secondary) fingerprint, means that detection of descrepencies between the two patterns can signify the presence of an artificial fingerprint. Liu et al has also shown that visualizing the distribution of sweat (eccrine) glands enhances the accuracy of fingerprint detection.…”
Section: Introductionmentioning
confidence: 99%