Eye Reflection Verification for Anti-Fraud Detection
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Solution Overview
Problem
Conventional facial detection systems cannot differentiate between a live human face and a photograph or artificial representation, making them vulnerable to fraud, such as using fake identification documents or video streams.
Innovation Solution
A system that defines a region of interest in a user's eye, calibrates a background pixel range, emits a verification pattern, captures the reflected image, and compares it to an expected pixel pattern to verify the presence of a live user by ensuring the reflection is within the defined region of interest, indicating a live human eye.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional facial detection systems are used to detect human faces, then face detection capability is provided, but the system cannot determine whether the detected face is from a live human or from a photograph/artificial reproduction
Solution Approach 1:
The patent introduces a light source as an intermediary element that projects a patterned light onto the user's eye. This intermediary light pattern serves as a mediator between the verification system and the eye, enabling the system to detect reflections that prove liveness without requiring complex structural changes to the overall device.
Solution Approach 2:
The system utilizes optical reflection properties by projecting a patterned light and analyzing the reflected light pattern from the eye. The change in light reflection characteristics (from the curved eye surface versus flat photograph surface) provides the verification signal, leveraging optical properties rather than complex mechanical or electronic modifications.
2Reliability
If sophisticated systems account for blinking and facial motion to detect live faces, then detection capability is improved, but the system can still be thwarted by video streams of someone else's face
Solution Approach 1:
The patent extracts the verification process from general facial motion analysis and focuses specifically on the eye region. By isolating and analyzing only the reflection pattern from the eye, the system eliminates vulnerability to video stream fraud while maintaining simplicity. The eye reflection becomes the sole verification criterion, removing the need for complex motion analysis.
Solution Approach 2:
The system creates an optical copy or reflection of the projected light pattern on the eye surface and analyzes this reflected copy to verify liveness. The reflected light pattern serves as a unique signature that can be compared against expected patterns, providing a simple yet effective verification mechanism that cannot be replicated by video streams.
3Reliability
If a verification pattern is projected and reflection is captured to verify liveness, then fraud detection capability is improved, but the verification process requires additional steps beyond simple face detection
Solution Approach 1:
The patent merges the light source and camera into a single integrated verification unit that can project the patterned light and capture the reflection in close proximity. This combination allows the system to perform verification using a single device component rather than requiring separate projection and detection devices, simplifying the overall process.
Solution Approach 2:
The system performs preliminary calibration to establish the expected reflection pattern before actual verification occurs. By pre-determining what a valid eye reflection should look like under the projected light pattern, the system simplifies the verification step to a straightforward comparison process, reducing real-time computational 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
Effectively verifies the presence of a live user by distinguishing between live human eyes and artificial surfaces, reducing the risk of fraud and improving security in applications like parental control and law enforcement.
Implementation Method 1
emitting a verification pattern from a display of the device; capturing a reflected image of the verification pattern from the region of interest of the user's eye
Data Source
AI summary
Systems, methods, and apparatus for detecting a live human face in an image are disclosed. The methods, systems, and apparatus are capable of capturing an image of a verification pattern that has been reflected from a defined region of interest of a user's eye. The captured image can be compared to the emitted verification pattern to determine whether the captured reflection matches the emitted pattern and is within the region of interest to verify a live user of an electronic device.