SimoneFaraulo/Secure-Face-Recognition-Liveness-Detection-System
End-to-end Facial Recognition and Authentication System featuring deep learning-based liveness detection (anti-spoofing) and quality-aware acquisition for secure access control
What's novel
End-to-end Facial Recognition and Authentication System featuring deep learning-based liveness detection (anti-spoofing) and quality-aware acquisition for secure access control
Code Analysis
0 files read · 5 roundsA modular biometric authentication system that combines image quality acquisition, deep learning-based liveness detection, and open-set identification/verification pipelines.
Strengths
Excellent separation of concerns with distinct modules for acquisition, feature extraction, liveness detection, and matching. The architecture supports complex real-world requirements like anti-spoofing and handling unknown users (open-set identification).
Weaknesses
Lacks a dedicated test suite (reliance on notebooks), has orphaned '_copy' files suggesting incomplete cleanup, and appears to lack a proper requirements.txt for dependency management.
Score Breakdown
Signal breakdown
Innovation
Craft
Traction
Scope
Evidence
Commits
8
Contributors
2
Files
33
Active weeks
2
Repository
Language
Python
Stars
1
Forks
0
License
MIT