Fingerprint Sensor with Force Detection for Spoof Authentication
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Solution Overview
Problem
Fingerprint sensors face challenges in distinguishing between live and spoof fingers, leading to potential unauthorized access, as spoof fingers can mimic the appearance of live fingers without significant deformation under applied force.
Innovation Solution
Incorporating a force sensor to capture the force parameter alongside fingerprint images during enrollment and verification, using the difference in deformation to enhance authentication security by matching the enrolled force parameter with the verification force parameter for successful authentication.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a fingerprint sensor is used for authentication, then user convenience and security are improved, but the system becomes vulnerable to spoof fingers that can mimic live fingerprints
Solution Approach 1:
The patent applies parameter changes by measuring the force parameter in addition to the fingerprint image. Live fingers exhibit different force characteristics compared to spoof fingers, and this additional parameter enables the system to distinguish between them. The force sensor captures the pressure distribution and magnitude, creating a multi-dimensional authentication template that includes both image and force parameters, thereby increasing security against spoofing attacks.
2Reliability
If a force sensor is added to detect finger deformation, then authentication security is improved, but device complexity increases
Solution Approach 1:
The patent merges the force sensor functionality with the existing fingerprint sensor system. The force sensor is integrated into the same device housing, and the control unit processes both fingerprint image data and force parameter data together. This combining approach allows the system to achieve enhanced security through multiple parameters while avoiding the complexity of completely separate authentication systems.
3Reliability
If multiple parameters (fingerprint image and force) are required for authentication, then security against spoofing is improved, but the authentication process becomes more complex
Solution Approach 1:
The system performs self-service by automatically capturing both fingerprint image and force parameter during the authentication process. The control unit handles the complex task of comparing multiple parameters against stored templates without requiring user intervention. The user simply places their finger on the sensor, and the system autonomously completes the multi-parameter verification, maintaining ease of operation despite the enhanced security checks.
Data Source
AI summary
The present invention generally relates to a method for authenticating a user of an electronic device comprising a fingerprint sensor and a force sensor, the method comprising: retrieving a stored plurality of fingerprint enrollment templates comprising an enrollment representation of at least part of a user's finger and a corresponding enrollment force parameter, acquiring a first verification image of an object and determining a first verification representation, determining a first verification force parameter, performing a fingerprint authentication procedure based on the first verification template and the plurality of fingerprint enrollment templates, wherein when the first verification representation and the first verification force parameter comprised in the first verification template matches each of the enrollment representation and the enrollment force parameter comprised in the same fingerprint enrollment template providing a signal indicating successful authentication of the user. The invention also relates to a fingerprint sensing system and an electronic device.