Face Authentication Using Age-Corrected Similarity Matching
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Solution Overview
Problem
Existing authentication systems struggle to accurately identify individuals whose facial appearance has changed over time, leading to recognition errors.
Innovation Solution
An authentication system that acquires first and second images of an individual at different timings, along with age information and a time period, calculates similarity, and corrects it based on age and time elapsed to determine identity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If facial image comparison is performed without age correction, then the authentication process is simple and fast, but recognition accuracy decreases for individuals whose appearance has changed over time
Solution Approach 1:
The system performs preliminary actions by acquiring age information and time period data before conducting the facial image comparison. These preliminary data acquisitions enable the subsequent correction of similarity scores based on aging effects, thereby improving recognition accuracy for individuals whose appearance has changed over time without significantly complicating the overall authentication process
Solution Approach 2:
The system changes the parameter being measured by introducing age information and time period as correction factors. Instead of directly comparing facial images, the system calculates a similarity score and then adjusts this score based on aging-related parameters, transforming a simple image comparison into an age-compensated authentication process that maintains accuracy while controlling complexity
2Reliability
If multiple parameters (age information, time period) are acquired and processed, then authentication accuracy improves, but processing time and computational load increase
Solution Approach 1:
Age information and time period data are acquired as preliminary information before the main authentication process. By preparing these correction parameters in advance, the system can efficiently adjust similarity scores without requiring complex real-time calculations during the authentication decision phase, thereby reducing overall processing time while maintaining high authentication reliability
Solution Approach 2:
The system replaces complex mechanical or manual authentication processes with automated computational methods. By using algorithms to calculate similarity scores and apply age-based corrections automatically, the system reduces processing time and computational load compared to manual verification methods, while significantly improving authentication reliability through consistent application of correction factors
Data Source
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AI summary
An authentication device includes an acquisition unit that acquires first image data generated at a first timing and indicating a first face of a living creature to be authenticated, age information indicating an age of the living creature at the first timing, second image data generated at a second timing later than the first timing and indicating a second face of the living creature, and aging information indicating a time period from the first timing to the second timing, and a controller that compares the first image data with the second image data. The controller calculates a similarity between the first face and the second face based on the first image data and the second image data, corrects the similarity based on the age information and the aging information, and determines, based on the corrected similarity, whether the living creature in the first image data is identical to the living creature in the second image data.