Dynamic Action Verification for Anti-Spoofing Identity
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Solution Overview
Problem
Current identity verification methods, such as password verification, mobile phone verification codes, and face identification, are inadequate in ensuring security due to vulnerabilities that can be exploited, leading to poor security in various application scenarios.
Innovation Solution
An identity verification method that involves playing action guide information, such as mouth shape guides, to collect action images and perform matching detection to determine if a living body exists, combined with user identity information verification to ensure accurate identity confirmation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional identity verification methods (password, mobile verification code, face identification) are used, then the verification process is simple and easy to operate, but the security level is poor and can be easily cracked
Solution Approach 1:
The verification process is divided into multiple independent stages: first verifying living body status through action recognition, then verifying identity information. This segmentation allows each stage to focus on a specific aspect, improving overall security while keeping individual steps manageable
Solution Approach 2:
The system performs preliminary living body verification through action recognition before proceeding to identity verification. This preliminary action ensures that only real users can access the identity verification stage, preventing automated attacks and improving security without significantly increasing user burden
2Reliability
If face identification verification is used, then the operation is convenient and quick, but it can be easily deceived by face pictures and lacks security
Solution Approach 1:
The system replaces static face image verification with dynamic action verification. Users must perform specific actions (reading guide information, making facial expressions, moving head) that are captured in a sequence of images. This dynamic verification makes it difficult to use static photos for deception while maintaining ease of operation through natural movements
Solution Approach 2:
The verification process requires users to perform periodic actions over time, such as reading guide information character by character, making facial expressions at specific moments, and moving the head in prescribed patterns. This temporal dimension adds security by ensuring the user is actively engaged throughout the verification process rather than presenting a single static image
3Reliability
If action recognition verification is added to verify living body, then the security is improved, but the verification process becomes more complex
Solution Approach 1:
The system uses the user's own facial features and natural movements as the verification medium. The user's face and actions serve as both the input and the verification key, eliminating the need for external sensors or complex hardware. This self-service approach improves living body verification accuracy while keeping the system relatively simple
Data Source
AI summary
An identity verification method performed at a terminal includes playing in an audio form action guide information including mouth shape guide information selected from a preset action guide information library at a speed corresponding to the action guide information, and collecting a corresponding set of action images within a preset time window; performing matching detection on the collected set of action images and the action guide information, to obtain a living body detection result indicating whether a living body exists in the collected set of action images; according to the living body detection result that indicates that a living body exists in the collected set of action images: collecting user identity information and performing verification according to the collected user identity information, to obtain a user identity information verification result; and determining the identity verification result according to the user identity information verification result.