Second-Factor Facial Authentication for Biometric Aging
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Solution Overview
Problem
Facial recognition systems face challenges in handling biometric temporal changes, such as aging and changes in appearance, which affect confidence values and can lead to unauthorized access, especially in ultra-secure environments where wide distribution of facial templates is restricted by data protection concerns.
Innovation Solution
Facial recognition is integrated with a user's credential device to store and transmit facial templates or images directly, allowing real-time comparison on the device, and dynamically adjusts authentication thresholds based on additional authentication factors to enhance security.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If facial recognition systems use fixed authentication thresholds, then system complexity is reduced, but reliability deteriorates due to inability to handle biometric temporal changes
Solution Approach 1:
The patent implements dynamic authentication thresholds that automatically adjust based on the user's historical authentication confidence values. The system calculates a moving average of confidence scores and adapts the threshold accordingly, allowing the authentication criteria to evolve with the user's biometric changes over time without requiring manual intervention or complex rule-based systems
Solution Approach 2:
The system continuously monitors authentication confidence values and uses this feedback to adjust future authentication decisions. By tracking the distribution of confidence scores over time and comparing new measurements against historical patterns, the system dynamically modifies thresholds to maintain high reliability while adapting to temporal biometric variations
2Speed
If facial templates are widely distributed for authentication, then authentication speed is improved, but security deteriorates due to data protection concerns in ultra-secure environments
Solution Approach 1:
The patent implements a hybrid architecture where facial template storage and processing capabilities are selectively distributed only to authorized reader devices in specific locations, rather than universally distributing templates to all devices. This localized distribution approach maintains fast authentication at authorized points while preventing unauthorized template propagation, thus preserving both speed and security
3Reliability
If authentication threshold is set high for security, then security is improved, but productivity deteriorates due to increased false rejections from biometric changes
Solution Approach 1:
The system dynamically adjusts authentication thresholds based on the user's historical performance and biometric stability. For users with consistent biometric readings, the system maintains high security thresholds, while for users experiencing natural biometric variations, the system adapts thresholds to reduce false rejections, thereby maintaining both security and productivity
Data Source
AI summary
A computer readable medium having executable code to: receive at least one of a first image of the user or a first representation of a face of the user; if a first image of the user was received, then generate a generated representation of the face of the user using the first image; capture a second image of the user and generate a second representation of the face of the user using the second image; receiving an authentication factor; determine validity of the authentication factor; determine a confidence of a match between the second representation and at least one of the first representation and the generated representation; and if the confidence is below a threshold and the authentication factor is determined to be valid, at least one of supplement or replace at least one of the first image or first representation with the second image or second representation, respectively.