Under-Display Camera Liveness Detection via Randomized Light Patterns
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Solution Overview
Problem
Existing biometric authentication systems face challenges in effectively distinguishing between real and fake users, particularly in environments with varying lighting conditions and display transmittance.
Innovation Solution
The proposed solution involves an electronic device equipped with a camera module positioned under the display and multiple light sources disposed at specific distances from the camera. The device randomly drives these light sources to emit diverse light patterns, enhancing security by analyzing the reflected light to determine biometric liveness.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a camera module is disposed under the display for biometric authentication, then the device integration is improved, but the image quality and liveness detection accuracy deteriorate due to display transmittance limitations
Solution Approach 1:
The patent applies local quality by using different light sources (IR and visible light) targeted at specific regions of the face (eyes) to enhance liveness detection. The IR light source specifically targets eye reflection properties to distinguish real eyes from fake ones, while visible light provides complementary information. This localized approach compensates for the display transmittance limitations by focusing illumination where it matters most for liveness detection.
Solution Approach 2:
The patent introduces light sources as intermediaries between the camera module and the user's face. These light sources (IR and visible light LEDs) act as mediators that illuminate the face through or near the display, enabling the under-display camera to capture sufficient light for accurate liveness detection despite the display's transmittance limitations. The light sources compensate for the optical path losses introduced by the display structure.
2Reliability
If multiple light sources are used to emit diverse light patterns for enhanced security, then the liveness detection capability is improved, but the device complexity and energy consumption increase
Solution Approach 1:
The patent implements multi-functionality by using the same camera module and processing unit for both regular photography/camera functions and biometric liveness detection. The light sources serve dual purposes: they illuminate the face for the under-display camera to capture images, and simultaneously provide the diverse light patterns needed for liveness detection. This universal approach enhances reliability without proportionally increasing device complexity.
Solution Approach 2:
The patent merges the biometric authentication function with the existing camera system. The under-display camera module, originally designed for general photography, is combined with IR and visible light sources to perform liveness detection. The processor integrates the analysis of reflections from multiple light sources into the existing image processing pipeline, thereby enhancing security capabilities while leveraging existing hardware infrastructure.
3Shape
If the camera module is positioned under the display, then the front surface design is improved, but the light emission and image acquisition efficiency deteriorate
Solution Approach 1:
The patent applies preliminary action by pre-positioning light sources (IR and visible light LEDs) in close proximity to the under-display camera module. These light sources are activated before or during image acquisition to ensure sufficient illumination reaches the user's face and reflects back to the camera. This preliminary lighting preparation compensates for the reduced light transmission through the display, maintaining image acquisition efficiency despite the camera's concealed position.
Solution Approach 2:
The patent employs periodic action by sequentially activating different light sources (IR light source, visible light sources) during the image acquisition process. The processor controls the timing of each light source to capture reflections at different intervals, building up a comprehensive set of data for liveness detection. This periodic illumination strategy ensures efficient use of multiple light sources while maintaining high image acquisition speed suitable for real-time authentication.
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 enables robust biometric liveness detection regardless of peripheral light conditions or display transmittance, providing enhanced security by accurately differentiating between real and fake users.
Implementation Method 1
analyze the face image produced at least in part by light emitted from the driven at least one light source
Implementation Method 2
analyze the reflected light to determine biometric liveness
Data Source
AI summary
Certain embodiments of the disclosure disclose a method and a device, the device including a display, a camera module disposed under the display, at least one light source disposed to correspond to the camera module, a memory, and a processor operatively connected to the display, the camera module, the light source, and/or the memory. The processor may be configured to drive the camera module and the at least one light source in response to a request for biometric authentication, acquire a face image from the camera module, analyze the face image produced at least in part by light emitted from the driven at least one light source, and perform the biometric authentication based on the analysis result. Other embodiments are possible.