Biometric Sensor Residue Spoofing Prevention
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Solution Overview
Problem
Fingerprint scanners face challenges in distinguishing residual fingerprints from actual fingerprints, leading to potential unauthorized access as residual fingerprints can be spoofed, causing security vulnerabilities.
Innovation Solution
The system captures multiple images of the sensing region at different times and compares their similarity, using a threshold level to validate the authenticity of the fingerprint, ensuring that the detected fingerprint is from a physically present finger and not a residual one by analyzing changes and additional fingerprints left on the surface.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If fingerprint scanners are used for authentication, then security is improved, but residual fingerprints can be spoofed causing security vulnerabilities
Solution Approach 1:
The system captures a first image of the sensing region before the authentication event occurs. This preliminary image is stored and later compared with the verification image to detect if a residual fingerprint from a previous contact is being used for spoofing, thereby preventing unauthorized access before it can succeed
Solution Approach 2:
The system compares the verification image (captured during authentication) with the previously stored first image to determine similarity. This feedback mechanism identifies when a residual fingerprint is being presented, allowing the system to reject spoofed authentication attempts and maintain security reliability
2Measurement precision
If multiple images are captured and compared, then residual fingerprint detection is improved, but processing time increases
Solution Approach 1:
The system captures only one additional preliminary image before authentication and compares it with the verification image. This partial approach (capturing just one pre-authentication image rather than continuous monitoring) provides sufficient detection capability while minimizing the time overhead associated with multiple image captures and comparisons
Data Source
AI summary
An input device includes a biometric sensor and a processing system. The biometric sensor is configured to capture images of a sensing region of the input device. The processing system is configured to acquire a first image of the sensing region in response to a first authentication trigger, and to acquire a second image of the sensing region in response to a second authentication trigger. The processing system is further configured to determine an amount of similarity between the first image and the second image, and to validate the second image for user authentication when the amount of similarity between the first image and the second image is below a threshold level.