Mobile Device Face Authentication Using Dual Camera Pulse Correlation
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Solution Overview
Problem
Current mobile device authentication methods, such as passcode entry, fingerprint scanning, and facial recognition, are not secure, provide a poor user experience, or are susceptible to spoofing, and often require additional costly hardware.
Innovation Solution
A method that combines facial recognition analysis with liveness verification using pulse rate correlation, utilizing dual cameras on a mobile device to ensure that the authenticated face corresponds to a live, authorized user by correlating pulse rates from images captured by the front and rear-facing cameras.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If facial recognition analysis is used for authentication, then user convenience is improved, but security is worsened due to susceptibility to spoofing with still images or videos
Solution Approach 1:
The patent introduces an intermediary liveness detection mechanism between the facial recognition system and the authentication decision. This intermediary layer analyzes video frames to detect physiological indicators (such as pulse rate variations) that confirm the presence of a live human subject, thereby preventing spoofing attacks while maintaining the convenience of facial recognition authentication.
2Reliability
If fingerprint scanning is implemented for security, then authentication security is improved, but device complexity and cost increase due to additional hardware
Solution Approach 1:
The patent makes the existing camera hardware perform multiple functions: standard facial recognition for identification and liveness detection for security verification. By analyzing temporal variations in facial imagery captured during video recording, the system achieves fingerprint-level security without adding dedicated biometric sensors, thereby reducing device complexity and cost.
3Reliability
If liveness checks requiring facial expressions are used, then spoofing resistance is improved, but user experience deteriorates due to inconvenience
Solution Approach 1:
The patent implements a passive liveness detection system where the user's physiological characteristics (such as pulse rate) are detected automatically without requiring active participation or specific facial expressions. The system processes naturally occurring variations in facial imagery during normal video recording, allowing users to authenticate through their natural state without performing additional actions, thus maintaining excellent user experience while achieving strong spoofing resistance.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach provides a secure and convenient two-fold authentication process that prevents spoofing while ensuring only authorized users access the mobile device, maintaining a seamless user experience without the need for costly additional hardware.
Implementation Method 1
Processing logic estimates user pulse rates from the first and second digital video data
Data Source
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AI summary
Disclosed is a method and apparatus for authenticating a user on a mobile device. The method may include initiating authentication of the user for access to the mobile device, where access to the mobile device is granted upon successful authentication of the user by the mobile device. The method may also include performing face recognition analysis on an image of a face of the user to determine an identity of the user. Furthermore, the method may also include determining whether a first pulse information and a second pulse information associated with the user indicate a pulse match. The method may also include authenticating the user for access to the mobile device when a pulse match is determined and the determined identity of the user has permission to access the mobile device.