Value Document Checking Using Position-Adaptive Templates
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Solution Overview
Problem
Existing methods for checking value documents, such as banknotes, are less accurate due to variations in the position of print layers, leading to inaccurate templates and tolerances for displacement, which affect the accuracy of authenticity and deterioration checks.
Innovation Solution
A method and device that generate and use multiple templates and position sub-regions to accurately determine the position of production elements on value documents, allowing for precise checking by matching the digital image of the document to the appropriate template based on determined positions, thereby improving the accuracy of authenticity and deterioration assessments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a single template is used for checking value documents, then the checking process is simple, but the accuracy deteriorates due to variations in print layer positions
Solution Approach 1:
The patent divides the checking task into multiple segments by creating multiple templates, each corresponding to a specific position sub-region of production elements. Instead of using one template for the entire document, the system segments the document into regions and selects the appropriate template based on the detected position of production elements, thereby maintaining simplicity while improving accuracy.
Solution Approach 2:
The patent introduces dynamic template selection based on the detected position of production elements. The system adapts which template to use depending on the actual position of production elements in the document, making the checking process dynamic rather than static. This allows the system to maintain high accuracy across variations in print layer positions while keeping the user interface simple.
2Ease of manufacture
If templates are created without accounting for print layer displacement, then template creation is simple, but checking reliability deteriorates
Solution Approach 1:
The patent performs preliminary actions by creating multiple templates in advance, each corresponding to a specific position sub-region of production elements. These templates are prepared beforehand to account for possible displacements, so that when actual checking occurs, the appropriate pre-created template can be selected without complex real-time calculations, maintaining simplicity while improving reliability.
Solution Approach 2:
The patent changes the parameter of template selection based on the detected position of production elements. Instead of using a fixed template, the system adjusts which template is applied depending on the position parameters of the production elements, thereby improving reliability without significantly complicating the overall process.
3Adaptability or versatility
If tolerance for print layer displacement is increased, then manufacturing variations are accommodated, but measurement precision deteriorates
Solution Approach 1:
The patent segments the possible position variations into discrete sub-regions, each with its own template. This segmentation allows the system to accommodate a range of production variations by selecting from multiple templates, while maintaining precise measurement within each specific sub-region through dedicated template matching.
Solution Approach 2:
The patent applies local quality by creating templates specifically tailored to each position sub-region. Each template is optimized for the local characteristics of that region, allowing for precise measurement and detection within that specific area while accommodating the broader variation across different regions through the existence of multiple specialized templates.
Data Source
AI summary
A method is provided for generating templates for checking value documents of a predefined value document type having at least two predefined production elements that optionally partially overlap, as well as digital training images of training value documents of the predefined value document type. The method involves: for each of the training images, determining position data sets having position coordinates in a coordinate space each describing the positions of the production elements on the value document at least relative to one another; forming at least two position sub-regions of the coordinate space, each comprising at least one predefined number of position data sets. The position subregions contain no common position data sets; for each of the position sub-regions, determining a template using training images of the value documents; storing the template and position sub-region data describing the position and extent of each position sub-region.