Polarization Eye Authentication for Live-Eye Spoof Detection
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Solution Overview
Problem
Existing iris-based authentication systems are vulnerable to spoofing by still images or video sequences, and there is a need for a more reliable method to authenticate users that ensures the signal is recorded from a live eye.
Innovation Solution
A polarization sensitive authentication system using a light source to illuminate the eye with polarized light and a polarization sensor to capture intensity and polarization characteristics, comparing these with previously collected data to authenticate the user, incorporating birefringence of the cornea for live eye differentiation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional iris-based authentication is used, then the authentication process is simple and fast, but the system is vulnerable to spoofing by still images or video sequences
Solution Approach 1:
The patent changes the measurement parameter from standard intensity-only iris patterns to polarization characteristics of light reflected from the eye. By measuring the degree of linear polarization (DOLP) and angle of linear polarization (AOLP) of light after it interacts with the cornea and iris, the system captures unique polarization signatures that are difficult to replicate with spoofing attempts. This parameter change maintains computational simplicity while dramatically improving authentication reliability.
Solution Approach 2:
The patent uses a single-shot polarization measurement approach where a polarization-sensitive camera captures authentication data in one image or video frame. This disposable, single-use measurement approach eliminates the need for complex multi-step verification processes or expensive specialized hardware, achieving high reliability through a simple, fast, and inexpensive single measurement that cannot be replayed or spoofed.
2Reliability
If polarization sensing is added to detect liveness, then the authentication security is improved, but the device complexity increases
Solution Approach 1:
The patent integrates polarization sensing into existing eye-tracking or authentication cameras by adding polarization-sensitive filters or sensors to the existing optical path. The same camera system that captures iris patterns for identification also captures polarization characteristics for liveness detection, making the system multi-functional without requiring separate dedicated hardware. This universal approach improves liveness detection accuracy while minimizing additional device complexity.
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
Provides robust user authentication by distinguishing between a live eye and a phantom eye, enhancing security and reliability by utilizing unique polarization patterns and intensity information.
Implementation Method 1
a light source to transmit polarized light
Implementation Method 2
the polarization characteristics represent at least in part, a unique birefringence of a cornea of the eye of the user
Data Source
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AI summary
A system for authentication of a user includes a light source to transmit polarized light, a polarization sensor, and processing logic. The system may cause the light source to illuminate an eye of the user with the polarized light, cause the polarization sensor to take an image of the eye to collect polarization characteristics particular to the eye when illuminated with the polarized light, and compare the polarization characteristics with previously collected polarization characteristics to authenticate the user.