Visual Data Processing for Mimic-Based Authentication
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Solution Overview
Problem
Existing authentication methods are vulnerable to theft and fraud, particularly when relying on what a user knows, as they can be easily breached or shared, leading to security issues and malicious conduct.
Innovation Solution
The implementation of visual data processing for authentication using mimed or imitated images, where users are prompted to mimic displayed emojis or images, and their facial and body expressions are captured and compared to establish a unique visual fingerprint for verification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional authentication credentials (passwords, PINs) are used, then ease of operation is improved, but reliability deteriorates due to susceptibility to theft and fraud
Solution Approach 1:
The patent replaces traditional knowledge-based authentication (what the user knows) with biometric-based authentication (who the user is). The system captures visual data of facial expressions and analyzes them using machine learning models to create unique expression patterns, substituting mechanical/password-based authentication with biological特征-based authentication that is inherently more secure and harder to compromise.
Solution Approach 2:
The patent changes the authentication parameter from static credentials (passwords that don't change) to dynamic biometric expressions (facial expressions that naturally vary). The system captures multiple expressions over time and analyzes temporal patterns, transforming authentication from a static state verification to a dynamic process that adapts to natural variations in user behavior while maintaining security.
2Reliability
If biometric authentication is implemented, then reliability is improved, but device complexity increases due to visual data processing requirements
Solution Approach 1:
The patent extracts and isolates specific facial expression features from the entire visual data stream for analysis. Rather than processing all pixels and visual information, the system identifies and focuses on key facial regions and expression patterns that are most discriminative for authentication, reducing computational complexity while maintaining or improving accuracy.
Solution Approach 2:
The patent segments the authentication process into distinct stages: visual data capture, expression detection, pattern recognition, and verification. This segmentation allows each component to be optimized independently and enables parallel processing, reducing overall system complexity and making the biometric authentication more manageable and scalable.
3Reliability
If multiple authentication factors are required, then reliability is improved, but ease of operation deteriorates due to additional verification steps
Solution Approach 1:
The patent merges multiple authentication factors into a single unified biometric verification process. By analyzing multiple facial expressions and temporal patterns within one authentication attempt, the system combines what would traditionally require separate verification steps into a single seamless operation, maintaining high security while improving user convenience.
Solution Approach 2:
The patent creates a universal authentication system that can adapt to different security requirements. The same visual data capture and analysis infrastructure supports varying levels of authentication strength by adjusting the number of expressions analyzed or the complexity of pattern matching, allowing the system to serve multiple authentication needs with a single implementation.
Data Source
AI summary
There are provided systems and methods for visual data processing of mimed images for authentication. Authentication may be required for a user and/or an account of the user, for example, to verify the identity of the user or allow the user to access and use the account of the user. As an additional factor to authentication, increased authentication may be accomplished through who and what the user is, such as through facial recognition and biometrics of the user. During authentication, the user may be presented with a set of images or icons, such as digital emojis, that convey and emotion or idea. The user may be asked to mimic the emojis during authentication, where the user's facial expression is recorded. To authenticate the user, the recorded data may be compared to past data through facial recognition processing and image analysis to find similarities.