Venous Network Biometric Fraud Detection via Infrared Contrast Analysis
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Solution Overview
Problem
Current biometric recognition systems face challenges in detecting fraud, as they cannot reliably determine whether a presented body portion is living, especially when artificial representations of venous networks are used, leading to inefficiencies and increased costs due to the need for complex hardware architectures.
Innovation Solution
A method involving infrared imaging to capture and analyze venous network contrast characteristics, using a configuration stage to establish thresholds for distinguishing between real and artificial images, allowing for effective fraud detection without relying on geometrical information, thus simplifying the comparison process and reducing resource requirements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If complex hardware architectures are used to detect fraud by detecting blood flow variation or using interferometric analysis, then fraud detection capability is improved, but device complexity and cost increase
Solution Approach 1:
The patent extracts the essential fraud detection function from complex hardware systems and implements it through software-based image processing of standard infrared images. Instead of requiring specialized hardware for blood flow detection or interferometric analysis, the system extracts contrast characteristics from ordinary infrared images to detect fraud, thereby simplifying the hardware architecture while maintaining detection capability
Solution Approach 2:
The patent replaces complex mechanical/optical fraud detection systems with a computational image processing approach. Rather than using hardware to directly detect blood flow variation or interferometric patterns, the system uses software algorithms to analyze contrast characteristics in infrared images, substituting mechanical complexity with computational simplicity
2Measurement precision
If multiple wavelengths or complex hardware are used for fraud detection, then measurement precision is improved, but device complexity and resource requirements increase
Solution Approach 1:
The patent applies partial action by using only a single wavelength or narrow wavelength range for infrared imaging, rather than requiring multiple wavelengths. The image processing algorithms are designed to extract sufficient fraud detection information from the contrast characteristics at this single wavelength, achieving adequate precision without the complexity of multi-wavelength systems
Solution Approach 2:
The patent creates a universal fraud detection method that works with standard infrared imaging equipment. The contrast analysis algorithm can detect fraud across different implementations and conditions without requiring wavelength-specific hardware, making the system universally applicable and simplifying the overall architecture
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
This approach effectively detects fraud using infrared images captured at a single wavelength, providing a reliable and efficient means to verify the authenticity of biometric signatures by differentiating between real and artificial venous network images, ensuring secure biometric recognition.
Implementation Method 1
capturing an infrared image of said human body portion in order to reveal a venous network of said human body portion
Data Source
AI summary
A method of detecting a venous network in a portion of a human body, the method comprising the steps of capturing an infrared image of said human body portion in order to reveal a venous network of said human body portion; analyzing contrast in the infrared image in order to determine contrast characteristics of the infrared image; and determining whether the human body portion is real on the basis of contrast characteristics determined in the infrared image and of contrast characteristics determined from reference human body portions. A method of biometric recognition with a prior stage of detecting whether a portion of a human body is real.