Library for Facial Presentation Attack Detection (PAD)

The Facial Presentation Attack Detection Library is an open source tool consisting of a series of plugins for bob.pad.base, our open-source biometric recognition platform. As a result, it is fully extensible using bob.pad.base documented types and techniques. Please refer to the manual of that package for a thorough introduction. In this guide, we focus on details concerning face PAD experiments using our plugins.

Users Guide

• Installation
  • Package Installation
  • Sphinx Documentation Building
  • Setting up Databases
  • Development
• Executing Baseline Algorithms
  • Running Baseline Experiments
  • Baselines on REPLAY-ATTACK database
  • Baselines on REPLAY-MOBILE database
  • Baselines on MSU MFSD database
  • Baselines on Aggregated Database
  • Baselines on other databases
• Executing Other Algorithms
  • Running face PAD Experiments
  • Anomaly detection based PAD on Aggregated Database
• Pulse-based PAD
  • Preprocessors: Pulse Extraction
  • Extractors: Features from Pulses
  • References
• References
• Resources
  • Databases
  • Available face PAD systems
• Python API
  • Database Interfaces
  • Pre-processors
  • Feature Extractors
  • Matching Algorithms
  • Utilities