Speckle Image Processing for Spoof-Resistant Material State Detection
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Solution Overview
Problem
Existing authentication systems are vulnerable to spoofing attacks using realistic masks, making it difficult to reliably distinguish between humans and spoofing items.
Innovation Solution
A method involving the use of patterned electromagnetic radiation to create speckle patterns, which are analyzed for speckle contrast to determine the presence of a living organism, thereby enhancing authentication by focusing on vital signs like blood perfusion rather than spatial features.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If spatial features (nose, nail, bone, shape) are used for authentication, then recognition is easy, but security is compromised due to spoofing vulnerability
Solution Approach 1:
The patent extracts and removes spatial information from the image data, keeping only the material state information. This is achieved by processing images to eliminate spatial features while preserving material properties, thereby eliminating spoofing vulnerability while maintaining authentication capability
Solution Approach 2:
The patent introduces an intermediary processing step that transforms the image data from spatial feature representation to material state representation. This intermediary transformation layer converts vulnerable spatial information into secure material state information that cannot be spoofed
2Reliability
If material state detection is implemented to improve security, then authentication reliability improves, but system complexity increases
Solution Approach 1:
The patent replaces complex mechanical or hardware-based material state detection systems with a computational approach. By using image processing and data-driven models to extract material state information from standard images, the system achieves reliable authentication without requiring complex additional hardware
Solution Approach 2:
The patent uses standard imaging equipment to capture images that contain material state information, then processes these copies to extract the needed authentication data. This avoids the need for specialized or expensive detection hardware while maintaining security
3Ease of manufacture
If spatial information is removed from images, then material state determination becomes easier, but information loss occurs
Solution Approach 1:
Instead of trying to extract material state information while preserving spatial information, the patent inverts the approach by removing spatial information and extracting material state information from the remaining data. This inversion makes the determination process simpler and more secure
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 method provides robust and reliable authentication by detecting vital signs, reducing the risk of spoofing and enabling monitoring of health or security-critical situations using inexpensive hardware.
Implementation Method 1
receiving at least one pattern image, wherein the at least one pattern image shows at least a part of the object under illumination by patterned electromagnetic radiation
Data Source
AI summary
Disclosed herein is a computer-implemented method for extracting a state of a material associated with an object, the method including:a) receiving at least one pattern image, where the at least one pattern image shows at least a part of the object under illumination by patterned electromagnetic radiation,b) changing and/or removing at least a part of the spatial information of the pattern image,c) determining a state of the material associated with the object based on the at least one pattern image, andd) providing the state of the material associated with the object.