• Corpus ID: 199064428

OCT Fingerprints: Resilience to Presentation Attacks

  title={OCT Fingerprints: Resilience to Presentation Attacks},
  author={T. Chugh and Anil K. Jain},
Optical coherent tomography (OCT) fingerprint technology provides rich depth information, including internal fingerprint (papillary junction) and sweat (eccrine) glands, in addition to imaging any fake layers (presentation attacks) placed over finger skin. Unlike 2D surface fingerprint scans, additional depth information provided by the cross-sectional OCT depth profile scans are purported to thwart fingerprint presentation attacks. We develop and evaluate a presentation attack detector (PAD… 
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  • Computer Science
    2020 IEEE International Joint Conference on Biometrics (IJCB)
  • 2020
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The results indicate that the power of the approach stems from the nature of the captured data rather than the employed classification framework, which justifies the extra cost for hardware-based (or hybrid) solutions.
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We present a style-transfer based wrapper, called Universal Material Generator (UMG), to improve the generalization performance of any fingerprint spoof (presentation attack) detector against spoofs
Fingerprint Spoof Generalization
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The terahertz technology can be successfully applied for spoofing detection with high detection probability and the skin structure of the finger pad is described with a focus on the outermost stratum corneum.


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New research in fingerprint biometrics uses optical coherence tomography (OCT) technology to acquire fingerprints from where they originate below the surface of the skin, and this work serves to detail current research in this domain.
Defense of fake fingerprint attacks using a swept source laser optical coherence tomography setup
It is demonstrated that OCT is a very useful tool to enhance the performance of biometric control systems concerning attacks by thin layer fingerprint fakes.
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Experimental results show that the proposed anti- Spoofing system could achieve 100% accuracy over all four types of artificial fingerprints and outperform the other automated anti-spoofing method in comparison.
Biometric Mapping of Fingertip Eccrine Glands With Optical Coherence Tomography
  • M. Liu, T. Buma
  • Computer Science
    IEEE Photonics Technology Letters
  • 2010
This work proposes a more reliable biometric technology using spectral domain optical coherence tomography (SD-OCT) to image the subsurface of a fingertip and demonstrates high repeatability in clearly visualizing the distribution of sweat (eccrine) glands in live fingertips.
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Since from 2009, the Fingerprint Liveness Detection Competition (LivDet) aims to assess the performance of the state-of-the-art algorithms according to a rigorous experimental protocol and, at the same time, a simple overview of the basic achievements.
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A new fingerprint presentation attack detection method based on convolutional neural networks and multi-spectral images extracted from the finger in the short wave infrared spectrum is presented.
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