Face Anti Spoofing

Facial anti-spoofing aims to detect and prevent unauthorized users from performing false facial verification using photos, videos, or 3D masks, ensuring the security of biometric systems. This task involves analyzing multiple features in images or video streams, such as texture, lighting, and depth information, to distinguish real faces from forgeries, thereby enhancing the accuracy and reliability of identity verification. In the field of computer vision, facial anti-spoofing technology is of significant application value for securing financial transactions, access control systems, and personal privacy.