Authenticity Verification Using Digital Image Metrology
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Solution Overview
Problem
Current methods for verifying the authenticity of sensitive products, such as banknotes, are complex and require specialized equipment or manual inspection, lacking a simple and universal optical verification method.
Innovation Solution
A method involving the definition of remarkable points on digital images, calculation of local histograms, and metrology to extract unique attributes, which are then compared to authenticate the product using common optical equipment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If specialized equipment and manual inspection methods are used for verifying banknote authenticity, then verification accuracy is improved, but device complexity and ease of operation deteriorate
Solution Approach 1:
The patent uses digital copies (images) of banknotes instead of physical inspection with specialized equipment. By capturing the banknote as a digital image and comparing it with reference images stored in a database, the system achieves verification accuracy without requiring complex physical inspection equipment. The digital copy serves as a surrogate for the physical banknote, enabling remote authentication.
Solution Approach 2:
The patent replaces manual mechanical inspection with automated digital image processing. Instead of using specialized physical equipment for visual inspection, the system uses software algorithms to automatically compare digital images, calculate distances between remarkable points, and determine authenticity. This substitution eliminates the need for complex mechanical verification devices.
2Measurement precision
If manual inspection methods are used for banknote verification, then verification accuracy is improved, but ease of operation deteriorates
Solution Approach 1:
The system enables self-service verification where any user can authenticate a banknote independently without requiring trained personnel or specialized equipment. The automated image comparison system performs verification automatically, eliminating the need for manual inspection expertise. Users simply provide a digital image of the banknote, and the system handles the entire verification process autonomously.
Solution Approach 2:
The patent replaces manual visual inspection with automated digital image processing and comparison algorithms. The system automatically detects remarkable points, calculates distances, compares images with reference data, and determines authenticity without human intervention. This automation significantly improves ease of operation while maintaining verification accuracy.
3Ease of operation
If simple optical equipment is used for verification, then ease of operation is improved, but measurement precision deteriorates
Solution Approach 1:
The patent transforms the verification process from physical measurement to digital parameter analysis. Instead of relying on the precision of optical measurement equipment, the system uses digital image parameters such as pixel coordinates, distance calculations, and contrast gradients. By working with digital parameters rather than physical measurements, the system achieves high precision with simple optical equipment, as the digital processing compensates for any limitations in the optical hardware.
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
Enables straightforward and accurate verification of sensitive products' authenticity using simple optical equipment, reducing the risk of false positives and negatives.
Implementation Method 1
acquisition of a test digital image of the sensitive product with an optical sensor
Data Source
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Figure 3
AI summary
The invention relates to a method for verifying the authenticity of a sensitive product comprising an identifier which comprises: - acquiring (1100) a test image of said product, - optically recognizing (1110) the identifier, - extracting (1120) an optical print of the test image, - dispatching (1130) to a remote database comprising a set of original images at least one from among: o said characters of the identifier recognized, o the optical print of the test image, and o said test image, - identifying (1140) in the base at least one original image corresponding to said test image, - extracting (1000) an optical print of the corresponding original image, and - comparing (1050) the optical print of the test image and the optical print of the original image; the extraction (1000, 1120) comprising at least one of the steps from among: - a step (1020) of calculating local collisions, and - a step (1030) of metrology.