Anti-fraud Fingerprint Sensor with Dynamic Displacement
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Solution Overview
Problem
Current fingerprint identification devices are not ergonomic and cannot effectively differentiate between a real finger and fraudulent decoys, such as paper or silicone replicas, without requiring user intervention.
Innovation Solution
An anti-fraud device that captures initial and displaced fingerprint images using a sensor mounted on a movement module, analyzing the local frequency modifications and structural displacements to determine if the support is a real part of the body, without needing user explanation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a sensor is mounted on a movement module to automatically capture fingerprint images before and after displacement, then the ergonomics and automation of the identification device are improved, but the device complexity increases
Solution Approach 1:
The sensor is mounted on a movement module that enables automatic displacement of the sensor relative to the fingerprint support. This dynamic configuration allows the system to capture multiple images at different positions without requiring manual user intervention, thereby improving ergonomics while managing complexity through automated control
Solution Approach 2:
The movement module automatically positions the sensor and captures images without requiring the user to perform specific movements or actions. The system serves itself by autonomously executing the image capture sequence, eliminating the need to instruct users on how to position their fingers
2Reliability
If the sensor is displaced to capture multiple fingerprint images, then the ability to detect fraudulent decoys is improved, but the measurement precision requirements increase
Solution Approach 1:
The movement module performs a limited displacement of the sensor rather than a complete scan. This partial action is sufficient to capture the elastic deformation characteristics of the fingerprint support, providing enough information for fraud detection without requiring excessively precise measurements across the entire fingerprint area
Solution Approach 2:
The system replaces manual manipulation of the fingerprint support with an automated movement module that applies controlled mechanical displacement. This substitution ensures consistent, repeatable movements that improve reliability while the analysis module compensates for measurement variations through image processing algorithms
Data Source
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AI summary
The invention relates to an anti-fraud device (100) for validating the use of a real part of the body as a fingerprint-bearing substrate (150), said device comprising: a control unit (106); a sensor (102) intended to capture the image of a fingerprint borne by the substrate (150) placed on the sensor (102); a movement module (104) on which the sensor (102) is mounted and which is intended to move the sensor (102); an analysis module (108) intended to receive data representative of a fingerprint image captured before the sensor (102) is moved and a fingerprint image captured after the sensor (102) is moved and to analyse same; and a decision-making module (110) intended to make a decision concerning whether the substrate (150) is a real part of a body or not, using the information transmitted by the analysis module (108).