17905760. Pattern Recognition for Face-Authentication Anti-Spoofing simplified abstract (Google LLC)
Contents
Pattern Recognition for Face-Authentication Anti-Spoofing
Organization Name
Inventor(s)
Octavio Ponce Madrigal of Mountain View CA (US)
Patrick M. Amihood of Palo Alto CA (US)
Pattern Recognition for Face-Authentication Anti-Spoofing - A simplified explanation of the abstract
This abstract first appeared for US patent application 17905760 titled 'Pattern Recognition for Face-Authentication Anti-Spoofing
The patent application describes techniques and apparatuses for implementing pattern recognition for face-authentication anti-spoofing.
- The face-authentication system can distinguish between a real human face and a presentation attack using a display to present a virtual human face.
- The camera system's operational settings are tailored to detect a pattern associated with the operation of the display.
- A spoofing detector analyzes images captured by the camera system to determine if the pattern is present, allowing for face authentication only when the pattern is absent.
- This technology helps prevent unauthorized access to a user's account or information by unauthorized actors using presentation attacks.
Potential Applications:
- Enhancing security in facial recognition systems
- Preventing unauthorized access to sensitive information
- Improving authentication processes in various industries
Problems Solved:
- Mitigating the risk of spoofing attacks in face-authentication systems
- Enhancing the accuracy and reliability of facial recognition technology
Benefits:
- Increased security and protection against unauthorized access
- Improved user authentication processes
- Enhanced trust in facial recognition systems
Commercial Applications:
- Biometric security systems for businesses and organizations
- Access control systems for secure facilities
- Identity verification solutions for financial institutions
Questions about Face-Authentication Anti-Spoofing: 1. How does this technology improve security in facial recognition systems?
- This technology enhances security by distinguishing between real human faces and presentation attacks, preventing unauthorized access.
2. What are the potential applications of this innovation beyond security measures?
- This innovation can also be used in various industries for authentication processes and identity verification.
Original Abstract Submitted
Techniques and apparatuses are described that implement pattern recognition for face-authentication anti-spoofing. In particular, a face-authentication system distinguishes between a real human face and a presentation attack that uses a display to present a virtual human face. Operational settings of a camera system of the face-authentication system are tailored to enable detection of a pattern associated with an operation of the display. A spoofing detector of the face-authentication system analyzes one or more images captured by the camera system and determines whether or not the pattern is present within the image(s). If the pattern is present, the face-authentication system does not provide face authentication. Alternatively, if the pattern is not present, the face-authentication system can provide face authentication if facial recognition is successful. In this way, the face-authentication system can prevent unauthorized actors from using the presentation attack to gain access to a user's account or information.
