Face Authentication Threshold Adaptation for Lighting Variations
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Solution Overview
Problem
Existing face authentication systems face accuracy issues due to varying lighting conditions, requiring manual registration of user face images and personal information, which burdens administrators.
Innovation Solution
A face authentication apparatus and method that automatically registers face image data and sets threshold values based on matching degrees, prompting users for identification information when necessary, without administrator intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If face authentication is performed using captured images, then user identification can be automated, but authentication accuracy deteriorates due to varying lighting conditions and shadows
Solution Approach 1:
The patent adjusts the threshold value dynamically based on image quality metrics such as lighting conditions and shadow levels. By changing the parameter (threshold) according to environmental factors, the system maintains reliable authentication decisions even when image quality varies, thus resolving the contradiction between automation and accuracy.
2Reliability
If manual registration of face images and personal information is required, then authentication reliability can be ensured, but administrative workload increases
Solution Approach 1:
The system performs automatic registration by capturing face images and extracting feature amounts without requiring administrator intervention. The apparatus autonomously stores the extracted feature amounts in the storage unit, enabling self-service registration that reduces administrative workload while maintaining authentication reliability through consistent feature extraction processes.
Solution Approach 2:
The system performs preliminary registration of face images and feature amounts before authentication is needed. By pre-processing and storing feature data in advance, the system eliminates the need for manual registration at the time of authentication, reducing administrative burden while ensuring reliable data is available for accurate authentication.
3Ease of operation
If a fixed threshold value is used for matching, then the authentication process is simple, but false authentications occur due to environmental variations
Solution Approach 1:
The threshold value is made dynamic rather than fixed. The system adjusts the threshold based on image quality assessments, allowing the authentication criterion to adapt to environmental conditions. This dynamic adjustment maintains simple operation for users while improving reliability by preventing false authentications under varying lighting and shadow conditions.
Data Source
AI summary
A face authentication apparatus includes: an acquisition unit that acquires face image data of a person from image capturing apparatuses, a determination unit that determines whether registration data, having degree of matching with the face image data that is equal to or more than a threshold value, is registered in a storage device, a prompting unit that prompts the person to input identifying information when the determination unit determines that the registration data is not registered in the storage device, a reception unit that receives the identifying information input, a registration after input reception unit that registers the face image data as registration data in the storage device when the reception unit successfully receives an input of the identifying information, and a setting unit that sets a threshold value, to be used by the determination unit, in association with the registration data registered by the registration after input reception unit.