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2 May 2019 Quantitative laser speckle contrast imaging for presentation attack detection in biometric authentication systems
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Abstract
We present an analysis and demonstration of using laser-speckle contrast imaging (LSCI) as a sensing modality for presentation attack detection in biometric authentication systems. We provide the design of an experimental testbed for the quantitative characterization of LSCI and measurement results for optimization of the parameters of the active imaging testbed. LSCI has traditionally been used as a qualitative tool for identification of blood flow in dermal micro-vasculature for diagnosis of tissue health. We have built a laboratory phantom model, simulating blood flow beneath diffuse tissue to enable quantitative characterization of the performance of LSCI as a function of both target and imaging system parameters. Our first testbed configuration was an objective LSCI setup, detecting unfocused light on a focal plane array. In objective configuration, we characterized speckle size and speckle contrast as a function of the testbed parameters. In the second testbed configuration, we evaluated the performance of objective LSCI for complex fluid flow scenes. Finally, we report on the quantitative measurement of speckle contrast as a function of fluid flow rate, thereby demonstrating the use of optimized LSCI as an important sensing modality for the detection of presentation attacks in biometric authentication systems.
Conference Presentation
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Claire Sun, Arun Jagannathan, Jonathan L. Habif, Mohamed Hussein, Leonidas Spinoulas, and Wael Abd-Almageed "Quantitative laser speckle contrast imaging for presentation attack detection in biometric authentication systems", Proc. SPIE 11020, Smart Biomedical and Physiological Sensor Technology XVI, 1102008 (2 May 2019); https://doi.org/10.1117/12.2518268
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Cited by 2 scholarly publications.
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KEYWORDS
Speckle

Laser speckle contrast imaging

Speckle pattern

Biometrics

Imaging systems

Cameras

Light scattering

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