Google llc (20240221429). Pattern Recognition for Face-Authentication Anti-Spoofing simplified abstract
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 20240221429 titled 'Pattern Recognition for Face-Authentication Anti-Spoofing
- Simplified Explanation:**
The patent application describes techniques and apparatuses for implementing pattern recognition in face-authentication anti-spoofing systems. These systems can distinguish between real human faces and presentation attacks using virtual human faces displayed on a screen.
- Key Features and Innovation:**
- Face-authentication system detects presentation attacks using virtual human faces. - Camera system settings are optimized to detect patterns associated with display operations. - Spoofing detector analyzes images to determine the presence of patterns. - Prevents unauthorized access by denying authentication when a pattern is detected.
- Potential Applications:**
- Enhancing security in facial recognition systems. - Preventing unauthorized access to accounts or information. - Improving authentication processes in various industries.
- Problems Solved:**
- Prevents unauthorized access through presentation attacks. - Enhances the accuracy of face-authentication systems. - Mitigates the risk of spoofing attacks.
- Benefits:**
- Increased security and protection against spoofing. - Improved user authentication experience. - Enhanced trust in facial recognition technology.
- Commercial Applications:**
Title: "Enhanced Face-Authentication Anti-Spoofing Technology for Secure Access Control" This technology can be applied in industries such as banking, healthcare, and government agencies to ensure secure access control and prevent unauthorized access to sensitive information.
- Prior Art:**
Prior research in the field of biometric security systems and facial recognition technology may provide insights into similar anti-spoofing techniques and approaches.
- Frequently Updated Research:**
Researchers are continually exploring new methods to enhance the security and accuracy of face-authentication systems, including anti-spoofing measures.
- Questions about Face-Authentication Anti-Spoofing Technology:**
1. How does this technology compare to other anti-spoofing methods used in facial recognition systems? 2. What are the potential limitations or challenges faced in implementing this technology effectively?
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.
