Fingerprint Authentication Force Value Verification
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Solution Overview
Problem
Fingerprint sensors are vulnerable to spoof fingers that mimic live fingerprints, leading to unauthorized access and increased fraud attempts, as they do not effectively differentiate between live and spoof fingerprints based on force applied.
Innovation Solution
A method that acquires and analyzes sequences of fingerprint images to estimate force values, creating verification templates that match stored enrolment templates, ensuring both image and force values align for valid authentication, thereby distinguishing live from spoof fingerprints.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional fingerprint sensing is used, then user convenience is maintained, but security against spoof fingers deteriorates
Solution Approach 1:
The fingerprint verification process is segmented into multiple independent matching steps (first matching step using first verification template, second matching step using second verification template). Each step validates different aspects of the fingerprint, and all steps must succeed for authentication to pass. This segmentation allows the system to maintain complexity while significantly improving security through multi-layered verification.
Solution Approach 2:
The patent transitions from traditional 2D fingerprint image matching to 3D verification by incorporating depth information and force sensitivity. The fingerprint sensor detects not only the flat fingerprint pattern but also the three-dimensional topography and mechanical properties of the finger, adding a new dimension of verification that spoof fingers cannot replicate.
2Reliability
If force-based verification is implemented, then spoof detection improves, but measurement precision requirements increase
Solution Approach 1:
The patent changes the verification parameter from static fingerprint pattern matching to dynamic force-based verification. By measuring the force applied during fingerprint placement and incorporating this force parameter into the verification templates, the system can detect spoof attempts that apply incorrect force, thereby improving spoof detection accuracy while managing measurement precision requirements through parameter transformation.
Data Source
AI summary
The present invention generally relates to a method for authenticating a user of an electronic device comprising a fingerprint sensor. The method comprises acquiring a sequence of verification images. Estimating, based on the images a first and a second verification force value indicative of a force applied by the object on the fingerprint sensor when the verification images were acquired. A verification image representation and a verification force value forms a verification template for each of the first and second images and forces. Matching the first and second verification template with at least one of a plurality of stored fingerprint enrolment templates in a respective first and second matching step. When the first and second matching steps each results in a positive match between the respective verification template and a respective one of the plurality of stored fingerprint enrolment templates, providing a signal indicating successful authentication of the user.