Facial Image Update Unit with Similarity Determination

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Solution Overview

Problem

Existing facial image update methods in biometric authentication systems do not adequately prevent unauthorized updates, risking fraud by allowing registration of another person's facial image.

Innovation Solution

An information processing device with a database storing a user's first facial image and an update unit that determines, based on similarity between the first and second facial images, whether to update the first facial image to the second facial image.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If facial image update is permitted without confirmation, then ease of operation is improved, but reliability deteriorates due to fraud risk

Engineering Contradiction:

Improvefacial image update operationVSAvoidauthentication security

Core Design Contradiction:

Ease of operationVSReliability

Solution Approach 1:

The system performs preliminary similarity comparison between the first facial image and second facial image before allowing update. The update unit determines whether to permit update based on this preliminary assessment, preventing fraudulent updates before they occur while enabling legitimate updates to proceed.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system provides feedback through similarity determination results to control the update process. The update unit uses the similarity assessment feedback to decide whether to permit or reject the facial image update, creating a closed-loop control mechanism that maintains security while enabling valid updates.

Inventive Principle:

Principle #23Feedback

2Reliability

If facial image update is restricted without similarity check, then reliability is improved, but ease of operation deteriorates

Engineering Contradiction:

Improveauthentication securityVSAvoidfacial image update operation

Core Design Contradiction:

ReliabilityVSEase of operation

Solution Approach 1:

The system performs self-verification by automatically comparing the similarity between first and second facial images without requiring external intervention. The update unit autonomously determines whether to permit update based on this self-assessment, reducing operational complexity while maintaining security.

Inventive Principle:

Principle #25Self-service

3Reliability

If similarity determination is performed, then reliability is improved by preventing fraud, but device complexity increases

Engineering Contradiction:

Improveauthentication securityVSAvoidupdate determination mechanism

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The system extracts only the essential similarity determination function from the update process. The update unit focuses specifically on comparing facial image similarity rather than implementing complex multi-factor authentication, simplifying the overall system while maintaining security effectiveness.

Inventive Principle:

Principle #2Taking out (Extraction)

4Productivity

If automatic update is implemented, then productivity is improved, but reliability deteriorates due to unauthorized updates

Engineering Contradiction:

Improvefacial image update efficiencyVSAvoidauthentication security

Core Design Contradiction:

ProductivityVSReliability

Solution Approach 1:

The system implements automatic update with feedback control by using similarity determination results to automatically decide whether to permit or reject updates. This feedback mechanism enables efficient automatic processing while preventing unauthorized updates, resolving the contradiction between productivity and reliability.

Inventive Principle:

Principle #23Feedback

Data Source

PatentUS12292952B2Information processing device, system, method, and storage medium for updating registered facial image

Publication Date: 2025.05.06 NEC CORP

AI summary

Provided is an information processing device that prevents fraudulent updating of registered facial images. The information processing device comprises a database and an updating unit. The database stores a first facial image of a user. In accordance with at least the similarity between the first facial image and a second facial image, the updating unit determines whether to update the first facial image using the second facial image.