Multi-Spectral Optical Sensor Array for Fingerprint Anti-Spoofing
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Solution Overview
Problem
Current fingerprint sensor systems are ineffective in preventing unauthorized access due to limitations in anti-spoofing technologies, particularly in detecting and rejecting spoofing attacks, which can lead to performance delays and increased false rejections.
Innovation Solution
A fingerprint sensor device incorporating a multi-spectral optical sensor array and a signal processing device that captures spectral reflectance data under controlled illumination conditions, performing proportional spectral analysis in conjunction with fingerprint analysis to authenticate the detected finger.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional fingerprint sensor systems are used, then the system is simple to operate, but the anti-spoofing protection is ineffective leading to unauthorized access
Solution Approach 1:
The patent combines multiple sensing functions into a single integrated sensor system. The multi-spectral optical sensor array simultaneously captures fingerprint pattern data and spectral reflectance data, while the fingerprint area sensor detects finger contact and captures images. This merging of multiple detection capabilities into one unified system provides comprehensive anti-spoofing protection without requiring separate complex devices for each function.
Solution Approach 2:
The multi-spectral optical sensor array serves multiple functions: it captures fingerprint pattern information, measures spectral reflectance across different wavelengths, and provides anti-spoofing verification. This multi-functional sensor eliminates the need for separate specialized sensors for each detection task, achieving reliable spoofing protection while maintaining system efficiency and reducing overall complexity.
2Reliability
If anti-spoofing techniques are added to fingerprint sensors, then spoofing detection capability is improved, but performance delays and false rejections increase
Solution Approach 1:
The system performs spectral analysis and fingerprint pattern matching simultaneously during the fingerprint capture process itself, rather than as separate subsequent steps. The multi-spectral optical sensor array captures spectral reflectance data at the moment of finger contact, and the signal processing device begins analysis immediately. This preliminary action eliminates performance delays by initiating authentication processing during data acquisition.
Solution Approach 2:
The patent maintains continuous authentication processing throughout the fingerprint capture sequence. The fingerprint area sensor continuously monitors finger contact, the multi-spectral optical sensor array continuously captures spectral data, and the signal processing device continuously performs analysis. This continuous operation eliminates idle time and false rejections by ensuring uninterrupted verification, improving both speed and reliability.
3Reliability
If multi-spectral optical sensor array is used, then spectral reflectance data is captured for anti-spoofing, but device complexity and resource consumption increase
Solution Approach 1:
The patent divides the authentication process into distinct functional segments handled by specialized components: the fingerprint area sensor segment handles contact detection and image capture, the multi-spectral optical sensor array segment handles spectral reflectance measurement, and the signal processing device segment handles data analysis. This segmentation allows each component to be optimized for its specific function while working together as an integrated system, managing complexity through functional decomposition.
Solution Approach 2:
The signal processing device acts as an intermediary that receives data from multiple sensor sources (fingerprint area sensor and multi-spectral optical sensor array), processes and integrates this information, and produces the final authentication result. This intermediary component consolidates the complexity of handling multiple data streams and analysis algorithms in a single dedicated unit, simplifying the overall system architecture while maintaining high authentication accuracy.
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
The solution provides robust anti-spoofing protection by effectively differentiating between authentic and unauthorized fingers, reducing the burden on system resources and improving user experience by integrating anti-spoofing measures during the fingerprint capture process.
Implementation Method 1
a multi-spectral optical sensor array that may capture spectral reflectance data of the detected finger under controlled illumination conditions
Implementation Method 2
provide spectral detail in wavelengths that may correspond to unique absorption characteristics of human skin
Implementation Method 3
The controlled illumination conditions may include different wavelengths, different polarization conditions, and different illumination orientations
Data Source
AI summary
Systems and methods for fingerprint anti-spoof protection using a multispectral optical sensor array may include a fingerprint sensor device that may have a fingerprint area sensor, a multi-spectral optical sensor array, and a signal processing device. The fingerprint area sensor may detect a finger in contact with the fingerprint area sensor and may capture a fingerprint sensor image. The multi-spectral optical sensor array may capture spectral reflectance data of the detected finger. The signal processing device may determine authenticity of the detected finger based on the fingerprint sensor image and the spectral reflectance data and provide an authentication result.