Face-Based Key Generation Using Stable Feature Indices
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Solution Overview
Problem
Existing facial recognition-based encryption technologies face challenges in generating unique cryptographic keys due to non-uniqueness of facial features and difficulty in maintaining consistent facial expressions, leading to inaccurate user authentication.
Innovation Solution
A system that generates a binary cryptographic key using a subset of significant features from images of a person's face, utilizing a list of indices to identify stable features and determine the order of key generation, ensuring more accurate and robust encryption and authentication.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If facial recognition techniques rely on specific facial features or consistent facial expressions, then user authentication can be performed using facial images, but the features may not be unique enough to distinguish one person from another or it can be difficult for a person to maintain the same facial expression
Solution Approach 1:
The patent segments the facial recognition process into multiple distinct phases: image acquisition, feature extraction, feature selection based on stability criteria, and cryptographic key generation. This segmentation allows the system to focus on stable, unique features rather than attempting to rely on all facial features or expressions, thereby resolving the contradiction between authentication reliability and feature uniqueness.
Solution Approach 2:
The patent changes the parameters used for authentication from traditional facial expressions or simple features to a cryptographic key derived from multiple stable facial features. By transforming the authentication parameter from qualitative (expression matching) to quantitative (cryptographic key comparison), the system achieves both high reliability and precision in distinguishing individuals.
2Loss of information
If traditional facial recognition uses all available facial features, then more information is available for authentication, but the stability and consistency of these features across different images may vary
Solution Approach 1:
The patent extracts and selects only the most stable and significant facial features from the complete set of available features. By taking out and isolating these specific stable features (such as distances between landmarks, angles of facial contours) while excluding variable features like expressions or temporary conditions, the system maintains both information quality and feature stability.
Solution Approach 2:
The patent performs preliminary feature selection and stability analysis before generating the cryptographic key. By pre-identifying which facial features are stable across multiple images and pre-processing them into a consistent format, the system ensures that the information used for authentication is both comprehensive and stable, resolving the contradiction between information retention and feature consistency.
Data Source
AI summary
A system includes a camera and a computing device. The computing device receives images captured by the camera and generates a face signature for a person in the images. Significant features are identified in the face signature. And a subset of those significant features are selected and used to generate a binary cryptographic key for the person.