Stereo Face Image Anti-Counterfeiting Verification
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Solution Overview
Problem
Current multi-biometric recognition systems, such as those using iris and face recognition, are vulnerable to counterfeiting, as they can be fooled by forged faces or irises, necessitating an enhanced anti-counterfeiting method to ensure security.
Innovation Solution
An electronic device equipped with an application processor, iris recognition device, face recognition device, and memory that performs three-dimensional modeling on face images with depth information to create a stereo face image, matches it with a preset stereo face image, and conducts living body detection using the iris image to verify the authenticity of the target object.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multi-biometric recognition is used to enhance security, then recognition accuracy is improved, but vulnerability to counterfeiting increases
Solution Approach 1:
The patent transitions from 2D face and iris images to 3D stereo face images by performing three-dimensional modeling on multiple face images captured from different angles. This dimensional enhancement creates a more complex verification space that is significantly harder to counterfeit while maintaining recognition accuracy.
Solution Approach 2:
The system combines multiple biometric modalities (face recognition and iris recognition) into a composite verification system. The face recognition device captures multiple images from different angles, and the iris recognition device captures iris patterns, creating a multi-layered biometric composite that is resistant to single-point counterfeiting attacks.
2Reliability
If multiple face images from different angles are used to create stereo face image, then anti-counterfeiting capability is improved, but processing complexity increases
Solution Approach 1:
The patent divides the face recognition process into distinct segments: capturing multiple face images from different angles, performing three-dimensional modeling to create a stereo face image, and then matching it with preset stereo face images. This segmentation allows each step to be optimized independently, managing processing complexity while enhancing anti-counterfeiting capability.
Solution Approach 2:
The system performs preliminary three-dimensional modeling to create stereo face images in advance and stores them as preset templates. During actual recognition, the system only needs to capture new images and compare them against the pre-processed stereo templates, significantly reducing real-time processing complexity while maintaining high reliability.
3Reliability
If iris recognition is combined with face recognition, then security is enhanced, but system complexity increases
Solution Approach 1:
The patent merges face recognition and iris recognition into a unified multi-biometric system. The face recognition device and iris recognition device work together, with their respective images processed through three-dimensional modeling and stereo matching, creating a consolidated security verification system that enhances reliability while managing complexity through integrated processing.
Data Source
AI summary
The present application provides an anti-counterfeiting processing method and related products, the method includes acquiring an iris image; acquiring a plurality of face images, the plurality of face images each corresponds to a set of depth information and a respective angle, and the iris image and the plurality of face images are derived from the same target object; performing three-dimensional modeling according to the plurality of face images and the depth information corresponding to the plurality of face images to obtain a stereo face image; comparing the stereo face image with a preset stereo face image, and performing a living body detection according to the iris image; and determining the target object is an effective real face when the stereo face image is successfully matched with the preset stereo face image and the iris image is derived from a living body.