Document Reference Data Decoupling for Flexible Authentication
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Solution Overview
Problem
Existing document authentication systems are inflexible due to the coupling of reference data with specific document reading devices, requiring adaptation to match the resolution and capabilities of the device used, which complicates the process and limits flexibility.
Innovation Solution
Decoupling reference data from detection device properties by creating adaptable reference data sets that can be adjusted to match the resolution and detection methods of various devices, allowing for the use of multiple detection methods and wavelengths to record and verify document features.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If reference data are recorded with the same document reader or with a document reader of the same or higher resolution, then the evaluation results are reliable, but the reference data must be adapted to each specific document reader which increases device complexity and reduces flexibility
Solution Approach 1:
The patent introduces an intermediary process that separates the reference data recording from the document reader properties. Reference data are recorded once with a high-resolution device, then processed through an intermediate adaptation step that converts them into device-independent representations. This intermediary layer allows any document reader to use the same reference data without requiring re-recording or complex device-specific adaptations.
Solution Approach 2:
The patent applies parameter changes by transforming reference data from device-specific parameters (resolution, sensor characteristics) into universal parameters that can be used across different document readers. The reference data are converted into a standardized format where physical document features are described in terms of their intrinsic properties rather than device-dependent measurements, enabling flexibility without sacrificing reliability.
2Measurement precision
If reference data are adapted to match the resolution of the document reading device, then the authentication accuracy is improved, but the process becomes complex and less flexible due to coupling document readers to specific reference data
Solution Approach 1:
Instead of adapting reference data to match each document reader's resolution (traditional approach), the patent inverts the process: document reader measurements are transformed and compared against resolution-independent reference data. The adaptation happens in the measurement domain rather than the reference data domain, allowing high authentication accuracy while maintaining reader flexibility.
Solution Approach 2:
The patent creates universal reference data that can serve multiple document readers with different resolutions and capabilities. A single set of reference data becomes multi-functional, working across various device types without requiring device-specific versions. This universality maintains authentication accuracy by preserving detailed feature information while enabling flexible deployment.
3Adaptability or versatility
If multiple detection methods with different wavelengths are used to detect feature sets, then the document authentication capability is enhanced, but the reference data management becomes more complex without decoupling
Solution Approach 1:
The patent segments reference data management by creating separate reference data sets for different detection methods and wavelengths, then managing them through a unified framework. Each detection method has its own optimized reference data, but the overall system manages them independently through standardized interfaces. This segmentation reduces complexity by avoiding the need to create comprehensive reference data for every possible combination of detection methods.
Data Source
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AI summary
The invention relates to a method for creating a document reference data set (109) for a document, wherein the document has a first set of features and a second set of features, wherein the first set of features can be detected using a first detection method, wherein the second set of features can be detected using a second detection method. The method comprises the following features: detecting (101) the first set of features using the first detection method in order to obtain a first feature reference set (102), detecting (103) the second set of features using the second detection method in order to obtain a second feature reference set (104), linking (105) the first feature reference set (102) to page information that refers to a property of the first detection method in order to obtain a first feature reference data set (106) of the document reference data set (109), and linking (113) the second feature reference set (104) to further page information that refers to a property of the second detection method in order to obtain a second feature reference data set (108) of the document reference data set (109).