Dynamic Facial Illumination for 3D Liveness Authentication
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Solution Overview
Problem
Existing biometric security methods, such as fingerprint scanners and two-dimensional facial recognition, are either too expensive or insecure for small electronic devices, making them impractical for secure user authentication.
Innovation Solution
A facial recognition authentication system using a mobile device with a camera and movement sensors, such as an accelerometer, magnetometer, and gyroscope, captures enrollment and authentication images while the device is moved relative to the user's head, processing biometric information and movement paths for secure authentication, with additional security layers like banding, glare, and three-dimensional imaging.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If two-dimensional facial recognition is used for authentication, then the system is simpler and more affordable, but the security is insufficient and vulnerable to impersonation through photographs or video recordings
Solution Approach 1:
The patent transitions from two-dimensional facial recognition to three-dimensional facial recognition by capturing multiple images from different angles as the device moves relative to the user's head. This adds the dimension of spatial movement and depth information, making it impossible for attackers to use photographs or video recordings for impersonation, while still using standard mobile device cameras.
Solution Approach 2:
The system introduces dynamic movement detection using accelerometers, magnetometers, and gyroscopes to capture the motion pattern of the device during authentication. This dynamic component adds temporal and spatial variability to the authentication process, preventing static images or videos from being used for fraud while maintaining cost-effectiveness through existing sensor technologies.
2Reliability
If fingerprint systems are implemented for authentication, then security is improved, but the device becomes more expensive and complex
Solution Approach 1:
Instead of using expensive dedicated fingerprint sensors, the patent creates a virtual three-dimensional facial model by capturing multiple two-dimensional images from different angles and processing them to extract facial biometric information. This copying approach uses standard mobile cameras and software algorithms to achieve secure authentication without requiring specialized hardware.
Solution Approach 2:
The patent makes the mobile device's existing camera and sensors serve multiple functions: the camera captures facial images for authentication, while the accelerometer, magnetometer, and gyroscope simultaneously detect movement patterns. This multi-functionality eliminates the need for separate dedicated authentication hardware, reducing device complexity and cost while maintaining security.
3Reliability
If multiple images from different angles are captured during authentication, then security against impersonation is improved, but the authentication process becomes more complex and time-consuming
Solution Approach 1:
The system performs preliminary action by capturing multiple images from different angles automatically as the device moves during the authentication process, without requiring the user to manually position themselves or the device. The movement detection sensors trigger and coordinate the image capture sequence, streamlining the user experience while maintaining comprehensive biometric data collection for security.
Solution Approach 2:
The patent merges the image capture process with the movement detection process into a single integrated authentication action. As the user naturally moves the device during authentication, the system simultaneously captures multiple images and detects movement patterns, combining what would otherwise be separate operations into one unified process that enhances security without significantly increasing complexity.
Data Source
AI summary
Systems and methods for authenticating a user in an authentication system using a computing device configured to capture authentication biometric identity information. The authentication biometric identify information captured during an authentication session. The authentication biometric identify information may comprise or be derived from one or more images of the user being authenticated. The authentication biometric identify information is compared to root identify biometric information. The root identify biometric information is captured from a trusted source, such as trusted devices located at trusted locations, such as a government entity, financial institution, or business. Identity verification may occur by comparing the trusted root identify biometric information to the biometric identify information captured during an authentication session. Liveness determination may also occur to verify the user is a live person. Liveness determination may include comparing two images of the user such that the two images are captured at different distances from the user.