Mobile Device Facial Authentication Using Multi-Angle Depth Sensing
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Solution Overview
Problem
Existing biometric security methods, such as fingerprint systems, are often expensive and unreliable for use on small electronic devices, and facial recognition systems are not considered secure enough for authenticating users due to the risk of image manipulation.
Innovation Solution
A method for enrolling and authenticating users using a mobile device equipped with a camera and movement detecting sensors, which captures enrollment and authentication images while the device is moved relative to the user's head, processing these images for face detection and biometric information extraction, and comparing this information with enrollment data to verify the user's identity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If fingerprint systems are used for authentication, then security is improved, but device cost increases and reliability decreases
Solution Approach 1:
The patent replaces mechanical fingerprint sensing systems with an optical-based facial recognition system using a camera and image processing algorithms. This substitution eliminates the need for expensive mechanical fingerprint sensors while maintaining authentication functionality through software-based biometric verification.
Solution Approach 2:
The patent uses digital copies of facial images captured by a standard camera instead of physical fingerprint impressions. The facial images are processed to create biometric templates that can be stored and compared, providing a cost-effective alternative to physical biometric sensors.
2Ease of operation
If two-dimensional facial recognition is used for authentication, then ease of operation is improved, but security deteriorates
Solution Approach 1:
The patent transitions from two-dimensional facial recognition to three-dimensional facial analysis by capturing images at multiple angles and depths. The system uses depth information and spatial relationships between facial features to create a three-dimensional facial model, making it resistant to two-dimensional attacks such as printed photos or video clips.
Solution Approach 2:
The patent divides the facial recognition process into multiple independent analysis dimensions, including depth detection, spatial position analysis, and feature point matching. Each dimension provides an additional layer of verification, ensuring that all aspects of facial geometry are validated during authentication.
Data Source
AI summary
Systems and methods for authenticating a user in an authentication system using a computing device configured to capture authentication biometric identity information. The authentication biometric identify information captured during an authentication session. The authentication biometric identify information may comprise or be derived from one or more images of the user being authenticated. The authentication biometric identify information is compared to root identify biometric information. The root identify biometric information is captured from a trusted source, such as trusted devices located at trusted locations, such as a government entity, financial institution, or business. Identity verification may occur by comparing the trusted root identify biometric information to the biometric identify information captured during an authentication session. Liveness determination may also occur to verify the user is a live person. Liveness determination may include comparing two images of the user such that the two images are captured at different distances from the user.