Face Authentication Re-Identification Matching for Spoofing Detection
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Solution Overview
Problem
Existing face authentication systems are vulnerable to spoofing attacks, where malicious users attempt to deceive the system by presenting a different face image or using 3D masks, which existing technologies struggle to detect effectively.
Innovation Solution
An information processing system that stores face information and re-identification information in association, determines whether the face and re-identification information of a target user match the stored pairs, and outputs the result, using re-identification information such as body shape, clothes, gait, property, attendant, and voice to detect spoofing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If face authentication systems use only face information for verification, then the authentication process is simple and fast, but the system becomes vulnerable to spoofing attacks
Solution Approach 1:
The patent combines face information with re-identification information (body shape, clothes, gait, property, attendant, voice) into a unified verification system. The determination unit integrates multiple types of information to jointly determine whether a user is authorized, making the system more resistant to spoofing attacks while maintaining a cohesive verification process.
Solution Approach 2:
The re-identification information serves multiple functions: it not only helps in identifying the user but also provides additional verification dimensions for security purposes. The same re-identification features are used both for user identification and for detecting spoofing attempts, making the system multi-functional and more secure.
2Measurement precision
If the system stores and verifies multiple types of information (face and re-identification), then spoofing detection capability improves, but the data processing complexity increases
Solution Approach 1:
The patent segments the verification process into distinct components: face information extraction, re-identification information extraction, and determination. Each component processes specific types of information independently before the determination unit integrates them, making the complex processing task manageable and systematic.
Solution Approach 2:
The determination unit acts as an intermediary that receives face information and re-identification information as separate inputs, processes them according to stored pairs, and produces the final verification result. This intermediary structure simplifies the overall processing complexity by providing a clear interface between data extraction and verification functions.
Data Source
AI summary
An information processing system (10) comprises: a storage means (110) for storing face information of a user and re-identification information used for re-identification of the user in association with each other; an acquiring means (120) for acquiring the face information and the re-identification information of a target user; a determining means (130) for performing determination whether or not the face information and the re-identification information of the target user are a pair stored in association with each other; and an output means (140) for outputting according to a result of the determination. According to the information processing system, it is possible to appropriately detect spoofing of a target user.