Forged Face Detection Using Line Beam Projection
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Solution Overview
Problem
Conventional biometric face recognition systems face challenges in distinguishing real from forged bio information, particularly due to high costs and user discomfort associated with thermal infrared cameras, and methods requiring eye movement, which compromise security and reliability.
Innovation Solution
A method and apparatus that project line beams onto a subject's face to acquire both photorealistic and infrared images, extract face features based on the line beam pattern, and detect forged faces by comparing these features against a preset range, ensuring only non-forged faces undergo authentication.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If thermal infrared camera is used to detect forged face, then detection accuracy is improved, but system cost increases
Solution Approach 1:
The patent uses a near-infrared camera to capture images reflected from the face, which are then processed to create thermal distribution patterns. This copying approach replicates the effectiveness of direct thermal imaging without requiring expensive thermal infrared cameras, thereby maintaining detection accuracy while reducing system cost
Solution Approach 2:
The patent replaces the direct thermal detection mechanism with an indirect optical reflection mechanism. Instead of using a thermal infrared camera to directly detect heat patterns, the system uses a near-infrared camera to capture reflected light patterns from line beams, substituting a cheaper optical system for an expensive thermal system while achieving similar forged face detection capability
2Ease of operation
If conventional face recognition method is used, then user comfort is improved, but security against forged faces deteriorates
Solution Approach 1:
The patent projects line beams in periodic patterns across the face and captures multiple images at different time points. This periodic projection allows the system to analyze thermal distribution dynamics over time, enabling forged face detection while maintaining a natural interaction process that does not require unusual user actions
Solution Approach 2:
The patent introduces line beam projection as an intermediary element between the user and the detection system. The line beams serve as a mediator that interacts with the face to reveal thermal distribution characteristics, enabling security verification without requiring the user to perform uncomfortable actions like speaking or moving
3Reliability
If eye movement is required for forged face detection, then detection capability is improved, but ease of operation deteriorates
Solution Approach 1:
The patent enables the face itself to reveal its authenticity characteristics through its natural thermal distribution pattern when exposed to line beams. The face's physiological properties automatically respond to the line beam projection, eliminating the need for active user participation such as eye movements, thereby maintaining high detection capability while ensuring ease of operation
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 enhances security and reliability by accurately differentiating non-forged from forged faces, preventing unauthorized access and improving user comfort by eliminating the need for eye movement, while being cost-effective compared to traditional thermal infrared cameras.
Implementation Method 1
an infrared image of a subject on which the line beams are projected
Data Source
AI summary
A forged face detecting method includes: acquiring a photorealistic image and an infrared image of a subject on which line beams are projected; extracting face features from the infrared image based on characteristics of a pattern of the line beams projected on the acquired infrared image; and detecting whether or not the infrared image is a forged face based on the extracted face features. Said detecting whether or not the infrared image is a forged face includes: checking whether the extracted face features falls within a preset permission range of face features; determining the infrared image to have the forged face if the extracted face features fall out of the range to acquire an infrared image of the subject again; and determining the infrared image to have a non-forged face if the extracted face features falls within the range to perform face recognition for the photorealistic image.