Polarized Scanning of Dendritic Identifiers for Authentication
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Solution Overview
Problem
Current methods for authenticating and identifying dendritic structures are inefficient due to the difficulty in distinguishing genuine from counterfeit structures, particularly in commercial transactions, where unique and reproducible analysis is required.
Innovation Solution
The use of polarized light imaging to acquire and analyze dendritic structures, determining changes in average pixel intensity and apparent illumination directions to authenticate and extract unique identifiers based on structural features, enabling accurate identification and information coding.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional imaging methods are used to analyze dendritic structures, then the analysis process is simple, but the ability to distinguish genuine from counterfeit structures is insufficient
Solution Approach 1:
The patent introduces polarization direction as an additional dimension for analyzing dendritic structures. By capturing images at multiple polarization angles (0°, 45°, 90°, 135°), the system extracts structural information that cannot be obtained through conventional single-angle imaging, thereby enhancing authentication accuracy while maintaining manageable system complexity through the use of a rotating polarizer mechanism.
Solution Approach 2:
The system varies the polarization parameter of the illumination light to reveal different structural characteristics of the dendritic patterns. By changing the polarization angle and analyzing the resulting intensity variations, the system obtains multiple parameters (average pixel intensity, standard deviation, skewness, kurtosis) that collectively improve the reliability of structure authentication.
2Measurement precision
If multiple imaging parameters are used to authenticate dendritic structures, then the authentication accuracy improves, but the analysis time increases
Solution Approach 1:
The system performs preliminary extraction of multiple statistical parameters (average pixel intensity, standard deviation, skewness, kurtosis) from each polarization image during the imaging phase. These pre-computed parameters are then used for rapid comparison and authentication, reducing the computational burden and time required during the actual verification process.
Solution Approach 2:
The system creates a reference database of dendritic structure parameters from authenticated genuine structures. During authentication, the system compares the measured parameters against this pre-stored reference data, enabling rapid verification without requiring complex real-time analysis of the complete structural information.
3Reliability
If polarized light imaging is used to highlight surface structural attributes, then the ability to distinguish genuine from counterfeit structures improves, but the complexity of image analysis increases
Solution Approach 1:
The patent divides the complex image analysis task into distinct segments: extracting average pixel intensity, calculating standard deviation, computing skewness, and determining kurtosis. Each statistical parameter captures a specific aspect of the dendritic structure's polarization response. This segmentation simplifies the overall analysis complexity by breaking it down into manageable computational steps that can be processed independently and then combined for final authentication.
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 allows for robust authentication and unique identification of dendritic structures, effectively distinguishing genuine from counterfeit structures, and enables secure information coding for various applications.
Implementation Method 1
illuminating a candidate structure with radiation linearly polarized along a first polarization direction and obtaining a first image of the dendritic structure, illuminating the candidate structure with radiation linearly polarized along a second polarization direction and obtaining a second image of the dendritic structure
Data Source
AI summary
The disclosure features methods and systems that include illuminating a candidate structure with radiation linearly polarized along a first polarization direction and obtaining a first image of the dendritic structure, illuminating the candidate structure with radiation linearly polarized along a second polarization direction and obtaining a second image of the dendritic structure, where an angle between the first and second polarization directions is at least 10, for a set of pixels corresponding to a first region of the candidate structure in the first and second images, determining a first change in average pixel intensity between the first and second images, and authenticating the candidate structure as a dendritic structure based on the first change in average pixel intensity.