Face Authentication Using Visible and Infrared Luminance Comparison
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Solution Overview
Problem
Current technologies lack a method to enhance the accuracy of face authentication using both visible light and infrared light images, which is necessary to improve security in authentication systems.
Innovation Solution
An electronic device equipped with an imaging section that generates both visible light and infrared light images, a face authentication unit, and a verification unit that compares these images to determine the authenticity of a face by analyzing luminance data from the eye regions in both images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If only visible light image is used for face authentication, then the authentication process is simple, but the security and accuracy are insufficient and vulnerable to spoofing
Solution Approach 1:
The patent combines visible light imaging and infrared light imaging into a single authentication system. The imaging section captures both visible light images and infrared light images of the face, and the authentication result determination apparatus integrates both images for verification. This merging of multiple imaging modalities enhances authentication security by making spoofing more difficult while maintaining a unified system architecture.
Solution Approach 2:
The patent introduces infrared light imaging as an additional dimension beyond visible light imaging. By capturing images in the infrared spectrum and comparing them with visible light images, the system adds a new dimensional layer of verification. This dimensional expansion allows the system to detect discrepancies that would be invisible in a single spectrum, thereby improving security without excessively complicating the device.
2Measurement precision
If multiple images are captured for verification, then the authentication accuracy improves, but the processing time increases
Solution Approach 1:
The system performs preliminary actions by capturing both visible light and infrared light images simultaneously or in rapid succession before the authentication decision is required. The imaging section is configured to acquire multiple images in advance, and the authentication result determination apparatus prepares the comparison data beforehand. This preliminary capture and preparation of multiple images reduces the actual processing time during authentication while maintaining high accuracy through comprehensive verification.
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 increases the accuracy of face authentication by distinguishing between real and fake faces, thereby enhancing security by preventing unauthorized access through image spoofing.
Implementation Method 1
an imaging section that generates both visible light and infrared light images
Implementation Method 2
an imaging section that generates both visible light and infrared light images
Data Source
AI summary
A face authentication procedure is performed on a face detected in a visible light image of a scene, and correctness of an authentication determination of the face authentication procedure is verified by comparing the visible light image to an infrared light image of the same scene. The verification may be performed by comparing the luminance and/or the size of an eye region in the visible light image to the luminance and/or the size of the eye region in the infrared light image.