Repository Copy of: Liveness control in face recognition with deep learning methods

Key Points

• The aim is to investigate deep learning techniques for effective liveness control in face recognition systems.
• Utilized various deep learning algorithms for liveness detection
• Implemented image processing techniques for enhanced recognition accuracy
• Analyzed algorithm performance based on biometric security standards
• Demonstrated significant improvement in liveness detection accuracy
• Achieved lower false acceptance rates in face recognition systems
• Highlighted the effectiveness of neural networks in distinguishing live subjects from presentations