Face Authentication Threshold Prediction and Adjustment
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Solution Overview
Problem
Existing face authentication systems face challenges in dynamically adjusting the threshold for authentication, leading to reduced convenience and difficulty in preventing false rejections, as the threshold changes are either delayed or not appropriately adjusted based on similarity history.
Innovation Solution
A face authentication apparatus that includes a face image acquisition unit, a collation unit, a prediction unit, and a threshold change unit, which predicts changes in similarity based on authentication success history and adjusts the threshold accordingly to prevent authentication failures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the threshold is changed only after authentication fails (as in Patent Literature 1), then the false rejection rate can be decreased, but the convenience is lowered due to delayed threshold adjustment
Solution Approach 1:
The system performs preliminary actions by predicting future similarity changes based on historical data before authentication failures occur. The prediction unit analyzes past authentication results to forecast when similarity values will drop below the threshold, allowing the threshold change unit to proactively adjust the threshold in advance, thereby maintaining both reliability and convenience
2Ease of operation
If the threshold is changed based on similarity on authentication success (as in Patent Literature 2), then the threshold can be changed before authentication fails, but it is difficult to change the threshold appropriately
Solution Approach 1:
The system implements feedback by continuously monitoring authentication results and using the prediction unit to analyze historical similarity data. This feedback mechanism allows the system to learn from past authentication patterns and make informed predictions about future similarity changes, enabling accurate threshold adjustments that are neither too early nor too late
Solution Approach 2:
The system changes the threshold parameter dynamically based on predicted similarity trends. Instead of using fixed threshold adjustment rules, the threshold change unit adjusts the threshold value according to the prediction results, which reflect actual authentication patterns and similarity degradation trends, thereby achieving appropriate threshold adjustment
Data Source
AI summary
A face authentication apparatus includes a face image acquisition unit that acquires a face image of an authentication target, a collation unit that performs face authentication by calculating similarity between face information of the face image of the authentication target and reference face image of each registered user and comparing the similarity with a threshold, a prediction unit that predicts a change in the similarity on the basis of similarity history on authentication success, and a threshold change unit that changes the threshold on the basis of the prediction result.