Biometric Acquisition Device Using Sinusoidal Light Modulation

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Solution Overview

Problem

Existing biometric fingerprint recognition systems are vulnerable to fraud due to the inability to reliably distinguish between authentic human fingers and counterfeit objects, particularly as they require additional components for impedance measurement, which complicates manufacturing and increases costs.

Innovation Solution

A device and method utilizing a light source with a sinusoidal modulation of light intensity to authenticate human fingers by analyzing periodic and continuous component parameters in the acquired image, allowing for fraud detection and biometric identity recognition without additional hardware, using a single light source and image acquisition system.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If impedance measurement is added to detect fraud, then fraud detection capability is improved, but device complexity and manufacturing cost increase

Engineering Contradiction:
Improvefraud detection capabilityVSAvoiddevice complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent combines fraud detection and biometric recognition functions into a single optical imaging system. The imager captures images that contain both fingerprint patterns and optical property variations, eliminating the need for separate impedance measurement hardware while maintaining fraud detection capability

Inventive Principle:
Principle #5Merging (Combining)

Solution Approach 2:

The optical imager is designed to perform multiple functions: it serves as both the biometric recognition sensor and the fraud detection instrument by analyzing optical properties of the finger. This multi-functional approach removes the need for additional specialized components

Inventive Principle:
Principle #6Universality (Multi-functionality)

2Reliability

If impedance measurement is added to detect fraud, then fraud detection capability is improved, but manufacturing cost increases

Engineering Contradiction:
Improvefraud detection capabilityVSAvoidmanufacturing cost
Core Design Contradiction:
ReliabilityVSEase of manufacture

Solution Approach 1:

The patent combines fraud detection and biometric recognition functions into a single optical imaging system. The imager captures images that contain both fingerprint patterns and optical property variations, eliminating the need for separate impedance measurement hardware while maintaining fraud detection capability

Inventive Principle:
Principle #5Merging (Combining)

Solution Approach 2:

The system uses the existing optical imaging components to perform fraud detection by analyzing optical properties of the finger. The same imager that captures fingerprint images also detects fraud through optical property analysis, making the system self-sufficient without requiring additional measurement instruments

Inventive Principle:
Principle #25Self-service

3Device complexity

If a single light source is used for both illumination and fraud detection, then device complexity is reduced, but measurement precision may be compromised

Engineering Contradiction:
Improvedevice complexityVSAvoidmeasurement precision
Core Design Contradiction:
Device complexityVSMeasurement precision

Solution Approach 1:

The patent employs periodic modulation of the light source intensity to encode different types of information. By modulating the light at specific frequencies and analyzing the reflected light's periodic components, the system can simultaneously extract both fingerprint patterns and optical property data for fraud detection with high precision

Inventive Principle:
Principle #19Periodic action

Solution Approach 2:

The patent transitions from analyzing only spatial patterns (fingerprint ridges and valleys) to also analyzing temporal and frequency dimensions of the reflected light. By examining the periodic components and frequency spectrum of the reflected modulated light, the system extracts additional information about the finger's optical properties without requiring additional hardware

Inventive Principle:
Principle #17Another dimension (Dimensionality change)

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

Enables effective fraud detection and biometric recognition by compensating for sinusoidal oscillations in the image, providing a cost-effective and simple solution that integrates with existing sensor architectures, enhancing the reliability of fingerprint authentication.

Implementation Method 1

the light source is configured to project on the part of the human body affixed to the contact surface, a light pattern having a sinusoidal modulation of light intensity in a main direction with a target frequency

Methodology Applied
Scientific EffectSinusoidal modulation of light intensity:

Implementation Method 2

an imager configured to acquire an image of the part of the human body affixed to the contact surface

Methodology Applied
Scientific EffectLight reflection: Reflection

Data Source

PatentUS11157759B2Biometric acquisition and processing device and method
Publication Date: 2021.10.26 IDEMIA PUBLIC SECURITY FRANCE
  • US11157759B2 patent drawing
  • US11157759B2 patent drawing
  • US11157759B2 patent drawing

AI summary

The invention relates to a device for the biometric acquisition and processing of an image of a part of the human body with dermatoglyphs, comprising a contact surface (3) configured so that the part of the human body is affixed to this contact surface (3), a light source (4) configured to project onto the part of the human body a light pattern having a sinusoidal modulation of light intensity in a main direction with a target frequency, an imager (2) configured to acquire an image, and an automated data processing system (7) configured to implement a fraud detection method and a biometric identity recognition method using a periodic component parameter representative of an amplitude of a sinusoidal oscillation of light intensity in the acquired image in accordance with the main direction at the target frequency.