Latent Image Encoding via Secondary Pattern Displacement
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Solution Overview
Problem
Current security devices in documents like banknotes lack effective methods to prevent unauthorized duplication and alteration, necessitating the development of new techniques for verification.
Innovation Solution
A method of encoding a latent image using a secondary pattern that displaces image elements based on the visual characteristics of the latent image elements, forming a primary pattern that can be decoded using the secondary pattern, enhancing security by making duplication apparent.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional security devices are used in banknotes, then basic security is provided, but they are vulnerable to unauthorized duplication and alteration
Solution Approach 1:
The security feature is divided into two separate components: a primary pattern embedded in the banknote and a secondary pattern provided on a separate device. This segmentation allows the security system to be more reliable while managing complexity through separation of functions.
Solution Approach 2:
The primary pattern is pre-encoded into the banknote during manufacturing with embedded displacement information. This preliminary action ensures that the security feature is already in place before verification, improving reliability without requiring complex real-time processing.
2Reliability
If a latent image is encoded using displacement of image elements, then anti-counterfeiting capability is enhanced, but the encoding process becomes more complex
Solution Approach 1:
The encoding process replaces complex manual or mechanical pattern creation with computational algorithms that automatically generate the primary pattern by displacing image elements according to the latent image data. This substitution enhances anti-counterfeiting capability while simplifying the manufacturing process.
Solution Approach 2:
The encoding method transforms the latent image by applying systematic displacement to image elements based on their visual characteristics. This parameter change (position displacement) creates a complex pattern that is easy to manufacture through digital processing but difficult to replicate.
3Measurement precision
If the primary pattern is created by displacing secondary image elements according to visual characteristics, then decoding accuracy is improved, but the pattern formation process becomes more complex
Solution Approach 1:
The primary pattern is created as a displaced copy of the secondary pattern, where each image element's position is shifted according to the visual characteristics of the latent image. This copying approach improves decoding accuracy while the automated process manages the complexity of pattern formation.
Solution Approach 2:
The displacement relationship acts as an intermediary between the latent image and the primary pattern. This intermediary mechanism enables precise encoding of visual characteristics into positional information, improving decoding accuracy while the computational process handles the complexity.
Data Source
AI summary
There is disclosed a method of encoding a latent image. The method comprises providing a latent image to be encoded, the latent image having a plurality of latent image elements, each latent image element having a visual characteristic which takes one of a predetermined set of values, providing a secondary pattern having a plurality of secondary image elements, the secondary pattern being capable of decoding the latent image once the latent image has been encoded, relating the latent image elements to the secondary image elements, and forming a primary pattern comprising a plurality of primary image elements which correspond to the secondary image elements displaced in accordance with the value of the visual characteristic of the latent image elements to which said secondary image elements are related.