Portable Biometric Device Using Fluorescence for Anti-Spoofing
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Solution Overview
Problem
Biometric identification systems are vulnerable to spoofing due to their reliance on liveness measures that can be circumvented by artificial samples mimicking human biometric characteristics, and existing anti-spoofing systems are often large and not suitable for mobile devices.
Innovation Solution
A portable biometric device that detects and processes biometric information, such as fingerprints and sweat gland pores, using an electromagnetic field to stimulate fluorescence, and converts this information into acoustic or digital signals for verification, allowing for a portable and effective anti-spoofing mechanism.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If liveness measures are used for biometric identification, then authentication reliability is improved, but the system becomes vulnerable to spoofing by artificial samples
Solution Approach 1:
The patent applies preliminary anti-action by implementing anti-spoofing mechanisms that detect and prevent spoofing attempts before they can compromise the authentication system. The system proactively identifies artificial samples by analyzing liveness characteristics and rejects them before authentication occurs, thereby neutralizing the spoofing threat in advance.
Solution Approach 2:
The patent introduces an intermediary detection layer that analyzes liveness measures between the biometric sample and the authentication decision. This intermediary system examines characteristics such as skin texture, moisture, temperature, and physiological signals to distinguish real biological samples from artificial replicas, thereby mediating the authentication process to prevent spoofing.
2Reliability
If anti-spoofing systems are implemented, then spoofing detection capability is improved, but device size and complexity increase
Solution Approach 1:
The patent applies universality by designing anti-spoofing systems that can be integrated into existing biometric authentication frameworks without requiring completely separate hardware or software components. The same sensor array used for capturing biometric data is also utilized for detecting liveness characteristics, thereby achieving multi-functionality and reducing overall system complexity.
Solution Approach 2:
The patent merges the anti-spoofing detection functions with the primary biometric authentication process by using identical sensor arrays and processing pipelines for both authentication and liveness detection. This consolidation eliminates the need for separate anti-spoofing hardware, thereby reducing device size and complexity while maintaining spoofing detection capability.
3Measurement precision
If multiple biometric characteristics are analyzed, then authentication accuracy is improved, but processing time and computational resources increase
Solution Approach 1:
The patent applies preliminary action by pre-processing and pre-analyzing biometric characteristics during the data capture phase. Liveness measures such as skin texture, moisture, and temperature are evaluated concurrently with the primary biometric features, thereby preparing the data for authentication before the actual comparison process begins and reducing subsequent processing time.
Solution Approach 2:
The patent implements continuity of useful action by performing multiple biometric analyses in parallel rather than sequentially. The system simultaneously processes fingerprint patterns, liveness characteristics, and other biometric features using dedicated processing channels, thereby maintaining continuous authentication workflow without time loss from sequential processing.
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 a portable and efficient method to verify the authenticity of biometric data, preventing spoofing attempts by utilizing unique biometric characteristics and generating acoustic or visual outputs for authentication, enhancing security in mobile devices.
Implementation Method 1
using an electromagnetic field to stimulate fluorescence
Data Source
AI summary
An apparatus, method and system are provided for sensing an individual's biometric information, and generating and transmitting an acoustic signal representative of the sensed biometric information. The acoustic signal may be transmitted as an audio signal or an ultrasonic signal to another apparatus in the system for authentication or verification of the individual's identity.


