Banknote Substrate Validation via Transmissive Image Extraction
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current automatic banknote processing systems face challenges in validating substrate features due to the overwhelming information from printing details in transmissive images, leading to the risk of accepting counterfeits, as existing solutions struggle to distinguish genuine from counterfeit notes with missing substrate features.
Innovation Solution
A three-layer 'sandwich' formation processing technique is employed to model a media item, extracting substrate signals from multilayer optical transmissive equations, allowing for the derivation of substrate images and comparison to a model image to determine authenticity, using a method that captures and processes images of layers and surfaces to distinguish genuine from counterfeit notes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If transmissive images are used for substrate validation, then the substrate signal can be obtained, but the substrate signal is submerged by the rich information of the two-sided printing details
Solution Approach 1:
The patent extracts substrate features by removing printing information from transmissive images through image processing. The system separates the substrate signal from the overwhelming printing details by comparing images taken from both sides of the banknote and mathematically eliminating the printing components, leaving only the substrate features for validation.
Solution Approach 2:
The validation process is divided into distinct stages: capturing images from both sides, processing to remove printing information, extracting substrate features, and comparing with reference patterns. This segmentation allows each stage to focus on specific tasks, improving the overall precision of substrate detection.
2Measurement precision
If existing validation solutions are used, then printing features can be examined through multi-spectrum imaging, but substrate feature validation remains a long-standing challenge
Solution Approach 1:
The system performs multiple validation functions using a unified approach: it captures images across different spectra, processes them to extract both printing and substrate features, and validates both simultaneously. This multi-functional capability allows the system to address both printing feature validation and substrate feature validation with a single integrated process.
Solution Approach 2:
The patent changes the validation parameter from purely printing-based to include substrate-based features. By shifting focus to substrate properties that are difficult to replicate in counterfeits, the system improves reliability in detecting counterfeit notes while maintaining printing feature validation capabilities.
3Ease of manufacture
If only printing features are validated, then the validation process is straightforward, but the system is exposed to the risk of accepting counterfeits with perfectly reproduced printing features
Solution Approach 1:
The patent introduces substrate features as an intermediary validation layer between the simple printing feature check and the final authenticity determination. This intermediary substrate validation provides an additional security layer that is difficult for counterfeiters to replicate, reducing the risk of accepting counterfeit notes with perfect printing reproductions.
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 reduces false counterfeit determinations and improves the acceptance rate of genuine notes, consistently rejecting high-quality counterfeits by providing a holistic and efficient substrate validation method that can be integrated with existing media validation processes.
Implementation Method 1
A transmissive image of the media item is acquired
Data Source
AI summary
Front side, reverse side, and transmissive images for a media item are obtained during a transaction at a transaction terminal wherein the media item is being processed by or urged through the transaction terminal during the transaction. A substrate image is derived from the front side, reverse side, and transmissive images. Features are extracted from the substrate image and compared against model features for a given type and a given denomination associated with the media item. A decision is made as to whether the media item is genuine or counterfeit based on the comparison between the extracted features and the model features, and the indication is provided to the transaction terminal during the transaction.