Mobile Facial Authentication Using Motion Path Liveness Checks
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Solution Overview
Problem
Existing biometric security methods, such as fingerprint scanners and two-dimensional facial recognition, are costly, unreliable, and vulnerable to spoofing, making them unsuitable for secure user authentication on small electronic devices.
Innovation Solution
A facial recognition authentication system using a mobile device's camera and motion sensors to capture enrollment and authentication images from multiple angles, combined with motion path parameters, to verify a user's identity and ensure liveness, incorporating additional security layers like banding detection and QR code recognition.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If two-dimensional facial recognition is used for authentication, then the system is easy to implement and low cost, but the system is vulnerable to spoofing attacks and lacks security
Solution Approach 1:
The patent transitions from two-dimensional facial recognition to three-dimensional depth mapping by using structured light projection and time-of-flight measurement. This adds a depth dimension that photographs and videos cannot replicate, thereby preventing spoofing attacks while maintaining ease of implementation through software-based 3D reconstruction.
Solution Approach 2:
The patent introduces depth maps as an intermediary layer between the camera and the facial recognition process. This depth information acts as a mediator that verifies the authenticity of the face by comparing expected depth values with actual measured depths, blocking spoofing attempts without requiring expensive hardware sensors.
2Reliability
If fingerprint scanners are used for biometric authentication, then the security is improved, but the device size and cost increase significantly
Solution Approach 1:
The patent makes the existing camera serve multiple functions: standard photography, facial recognition, and 3D depth mapping for secure authentication. By enabling the camera to project structured light patterns and measure time-of-flight, the system achieves fingerprint-level security without adding dedicated biometric hardware, thus avoiding increased device size.
Solution Approach 2:
The patent creates a digital 3D copy of the user's face through structured light scanning and time-of-flight measurement. This digital twin serves as a secure biometric template that can be stored and compared, providing reliable authentication without requiring physical contact sensors or additional hardware components.
3Reliability
If complex passwords are required for account security, then the security level increases, but the ease of operation decreases and user convenience is reduced
Solution Approach 1:
The patent replaces the mechanical action of typing complex passwords with an optical biometric authentication system. The 3D facial recognition system captures depth maps and compares them against stored templates, providing high security through automated optical measurement and pattern matching, thereby eliminating the need for users to remember and type complex passwords.
Data Source
AI summary
Systems and methods for enrolling and authenticating a user in an authentication system via a user's camera of camera equipped mobile device include capturing and storing enrollment biometric information from at least one first image of the user taken via the camera of the mobile device, capturing authentication biometric information from at least one second image of the user, capturing, during imaging of the at least one second image, path parameters via at least one movement detecting sensor indicating an authentication movement of the mobile device, comparing the authentication biometric information to the stored enrollment biometric information, and comparing the authentication movement of the mobile device to an expected movement of the mobile device to determine whether the authentication movement sufficiently corresponds to the expected movement.