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A Smart Spoofing Face Detector by Display Features Analysis.

ChinLun Lai1, ChiuYuan Tai2

  • 1Department of Communication Engineering, Oriental Institute of Technology, New Taipei City 220, Taiwan. fo001@mail.oit.edu.tw.

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This study introduces a smart face liveness detector to prevent biometric fraud using high-definition displays. The system analyzes display characteristics to accurately distinguish live faces from spoofing attempts, enhancing security.

Keywords:
biometric authentication system cheatdisplay features analysisnon-intrusive anti-spoofing face liveness detectionprobabilistic neural networkspoofing action detector

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Area of Science:

  • Computer Science
  • Biometrics
  • Image Processing

Background:

  • Biometric systems are vulnerable to spoofing attacks using high-definition displays.
  • Existing methods struggle to detect sophisticated spoofing techniques.
  • Face recognition systems require robust liveness detection for reliable authentication.

Purpose of the Study:

  • To propose a smart face liveness detector to prevent biometric system deception.
  • To enhance the security of authentication systems against spoofing.
  • To upgrade standard optical image sensors for advanced spoof detection.

Main Methods:

  • Analyzing display platform characteristics to identify spoofing.
  • Utilizing an expert decision-making core for liveness detection.
  • Verifying chromaticity regions in captured faces to distinguish live from fake.
  • Employing a designed optical image sensor for precise detection.

Main Results:

  • The proposed system effectively detects spoofing actions from high-definition displays.
  • Accurate distinction between live and spoof faces is achieved.
  • Experimental results demonstrate a very high detection rate compared to existing methods.

Conclusions:

  • The developed smart face liveness detector offers a practical solution for biometric security.
  • The method upgrades normal optical image sensors into powerful spoof detection tools.
  • The system is highly effective and suitable for direct implementation in authentication systems.