Infrared and Depth Face Authentication Against Spoofing Attacks
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Solution Overview
Problem
Existing biometric authentication systems are vulnerable to spoofing attacks using high-definition media such as photos, videos, or masks, particularly when relying on color images, which are sensitive to environmental lighting conditions.
Innovation Solution
Utilizing infrared (IR) and depth images for preprocessing to enhance edge components and transform facial poses, combined with neural network-based liveness tests, to distinguish between genuine and fake faces.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If color images are used for biometric authentication, then the system is easy to operate, but it is vulnerable to spoofing attacks from high-definition displays and prints
Solution Approach 1:
The patent changes the spectral parameter of the imaging system by using infrared (IR) images instead of visible light color images. This parameter change makes the authentication system resistant to spoofing attacks because infrared images capture thermal radiation and reflectance properties that are difficult to replicate with high-definition displays and prints, while maintaining ease of operation through automated capture.
Solution Approach 2:
The patent adds a new dimension to the authentication process by incorporating depth information from depth images alongside infrared images. This dimensional enhancement creates a multi-dimensional verification system that is significantly more resistant to spoofing attacks, as fake faces must replicate both infrared thermal properties and three-dimensional depth characteristics simultaneously.
2Device complexity
If color images are used for biometric authentication, then the system is simple to implement, but it lacks robustness against environmental lighting and shadows
Solution Approach 1:
The patent changes the illumination parameter by using infrared radiation instead of visible light. This allows the system to operate independently of environmental lighting conditions, as infrared imaging captures thermal emissions from the face itself rather than reflecting ambient visible light, thereby eliminating vulnerability to lighting and shadow variations.
Solution Approach 2:
The patent introduces infrared radiation as an intermediary medium for authentication. Instead of directly using visible light that is affected by environmental conditions, the system uses infrared radiation as a mediator that penetrates through lighting variations and shadows, providing stable and reliable authentication data.
3Measurement precision
If preprocessing is performed to emphasize edge components and transform facial features, then authentication accuracy is improved, but processing time increases
Solution Approach 1:
The patent applies preliminary action by performing preprocessing operations such as edge emphasis and facial feature transformation before the actual authentication comparison. This prepares the infrared and depth images in advance, enhancing key features that will be used for matching, thereby improving authentication accuracy while managing processing time through efficient pre-computation.
Solution Approach 2:
The patent applies local quality by selectively emphasizing edge components and specific facial features during preprocessing rather than uniformly processing the entire image. This focused approach enhances authentication-critical regions while minimizing unnecessary processing elsewhere, thereby improving accuracy without proportionally increasing overall processing time.
Data Source
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AI summary
The application concerns a method and apparatus with liveness test and/or biometric authentication, a computer program to cause said apparatus to execute said method, and a computer readable medium storing the same. The processor-implemented method includes: generating a preprocessed infrared (IR) image by performing first preprocessing based on an IR image including an object; generating a preprocessed depth image by performing second preprocessing based on a depth image including the object; and determining whether the object is a genuine object based on the preprocessed IR image and the preprocessed depth image or determining whether authentication of the object is successful based on the preprocessed IR image and the preprocessed depth image.