Quality of fingerprint scans captured using Optical Coherence Tomography

Sousedik, Ctirad; Busch, Christoph

doi:10.1109/btas.2014.6996294

Cited by 11 publications

(3 citation statements)

References 7 publications

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“…As an emerging optical technology, OCT has developed rapidly in recent years because of its real-time, 3D, high-sensitivity and label-free advantages [25], [26]. OCT fingerprint system can obtain finger subcutaneous tissue information [26], [27] and reconstruct internal finger images [28], [29]. Growing academic and research interest is attracted by OCT fingerprint systems as they offer more uniform fingerprint quality [30], fingerprint repair potential to traditional 2D fingerprint [31], and robust PAD capabilities [32].…”

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confidence: 99%

“…The automatic feature-based approach focuses on differences between bonafide and PA in OCT internal cross-section image. Sousedik et al detected the boundary between layers and used the energies of the detected layers for classification [29]. Darlow et al proposed a combination strategy using finger internal layered depth representation and autocorrelation analysis for PAD [37].…”

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confidence: 99%

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Scenarios for vehicular air pollutant emissions abatement: a case study in Hangzhou, China

Tian

et al. 2014

J. Zhejiang Univ. Sci. A

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Motor vehicles are the major source of urban air pollution. The abatement of air pollutant emissions is an urgent task for environmental protection. This paper simulated the abatement for carbon monoxide (CO), volatile organic compounds (VOCs), nitrogen oxides (NO x ), and particular matter (PM) emissions from vehicles under four scenarios in the year 2015 in Hangzhou, China. It was found that the emissions of CO, VOCs, NO x , and PM from vehicles were 440.551, 23.079, 44.255, and 6.532 kt/a in 2010 in Hangzhou, respectively. The vehicle population will increase to over 1.2 million with a 60.7% growth rate until 2015 (estimated). Based on the scenario analysis, it was found that eliminating substandard vehicles and upgrading vehicle's standards could help reduce CO and VOCs effectively, while the expected abatement of NO x and PM would be offset by the rapid increase in the vehicle numbers. It was also found that integrated measurements, including eliminating substandard vehicles, upgrading vehicle standards, supplying low sulfur oil, and introducing alternative fuel vehicles could simultaneously reduce the four key pollutants. These integrated policies make it possible to reduce 250.197, 10.270, 1.791, and 0.335 kt/a CO, VOCs, NO x , and PM with 56.79%, 44.50%, 4.05%, and 5.14% decrease rates in 2015, respectively, when compared to those in 2010.

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Scenarios for vehicular air pollutant emissions abatement: a case study in Hangzhou, China

Tian

et al. 2014

J. Zhejiang Univ. Sci. A

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“…proposed an efficient algorithm for boundary detection between layers in an OCT fingerprint scan [ 28 ]. Since the algorithm tends to generate outliers, they further developed their method by using a neural network to represent the fingerprint surface and deal with these outliers [ 29 ]. They also derived quality metrics based on the integrity of the boundaries, since the presence of outliers is often directly related to the non-compliant behaviour of the captured person (e.g., finger movement during scanning).…”

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confidence: 99%

Robust Identification and Segmentation of the Outer Skin Layers in Volumetric Fingerprint Data

Kirfel

Scheer

Jung

et al. 2022

Sensors

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Despite the long history of fingerprint biometrics and its use to authenticate individuals, there are still some unsolved challenges with fingerprint acquisition and presentation attack detection (PAD). Currently available commercial fingerprint capture devices struggle with non-ideal skin conditions, including soft skin in infants. They are also susceptible to presentation attacks, which limits their applicability in unsupervised scenarios such as border control. Optical coherence tomography (OCT) could be a promising solution to these problems. In this work, we propose a digital signal processing chain for segmenting two complementary fingerprints from the same OCT fingertip scan: One fingerprint is captured as usual from the epidermis (“outer fingerprint”), whereas the other is taken from inside the skin, at the junction between the epidermis and the underlying dermis (“inner fingerprint”). The resulting 3D fingerprints are then converted to a conventional 2D grayscale representation from which minutiae points can be extracted using existing methods. Our approach is device-independent and has been proven to work with two different time domain OCT scanners. Using efficient GPGPU computing, it took less than a second to process an entire gigabyte of OCT data. To validate the results, we captured OCT fingerprints of 130 individual fingers and compared them with conventional 2D fingerprints of the same fingers. We found that both the outer and inner OCT fingerprints were backward compatible with conventional 2D fingerprints, with the inner fingerprint generally being less damaged and, therefore, more reliable.

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