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Updated: Jun 24, 2026

An Intra-Tissue Radiometry Microprobe for Measuring Radiance In Situ in Living Tissue
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Masked fake face detection using radiance measurements.

Youngshin Kim1, Jaekeun Na, Seongbeak Yoon

  • 1Computer Vision Laboratory, Sungkyunkwan University, 300 Cheoncheon-dong, Jangan-gu, Suwon, Gyeonggi-do 440-746, South Korea.

Journal of the Optical Society of America. A, Optics, Image Science, and Vision
|April 3, 2009
PubMed
Summary

This study introduces a new method for detecting fake faces using reflectance disparity. The technique achieves 97.78% accuracy by analyzing facial skin and mask material properties, enhancing face verification security.

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Area of Science:

  • Biometrics
  • Computer Vision
  • Material Science

Background:

  • Face verification systems are vulnerable to spoofing attacks using fake faces.
  • Distinguishing between real and artificial facial features is crucial for security.

Purpose of the Study:

  • To develop a novel method for discriminating between real and masked fake faces.
  • To exploit the inherent differences in reflectance properties between skin and mask materials.

Main Methods:

  • A 2D feature space was created using radiance measurements from the forehead region.
  • Two illumination wavelengths (850 nm and 685 nm) were utilized.
  • Fisher's linear discriminant was applied to the feature space for classification.

Main Results:

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  • Facial skin and mask materials exhibited linearly separable distributions in the proposed feature space.
  • The method achieved a fake face detection accuracy of 97.78%.

Conclusions:

  • The developed method effectively discriminates between real and masked fake faces.
  • The approach is based on exploitable reflectance disparities.
  • The technique is suitable for integration into commercial face verification systems.