Forensic Authentication via Substrate Signature Extraction
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Solution Overview
Problem
Existing forensic authentication methods face challenges in achieving sufficient statistical accuracy for discrimination between printed documents due to insufficient random variation in print structure, particularly for certain print technologies.
Innovation Solution
A model-based approach is employed to extract a substrate signature from the region surrounding a printed forensic mark, using high-resolution imaging and geometric models to define a substrate region and generate a substrate signature, which can be used for forensic inspection and authentication.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If image-based forensic services analyze printing on products, then authentication capability is improved, but statistical accuracy for forensic discrimination deteriorates due to insufficient random variation in print structure
Solution Approach 1:
The patent introduces an intermediary computational model that mediates between the printed mark and forensic analysis. This model extracts substrate interaction patterns as intermediate features, enabling accurate forensic discrimination even when direct print structure variation is insufficient. The intermediary transformation converts inadequate print variations into rich forensic signatures through model-based feature extraction.
2Productivity
If certain print technologies are used, then productivity is improved, but manufacturing precision deteriorates due to insufficient random variation in print structure
Solution Approach 1:
The patent applies parameter changes by transforming the analysis from direct print structure parameters to substrate interaction parameters. Instead of relying on print structure variation, the system changes the measured parameters to include substrate absorption patterns, reflection characteristics, and geometric relationships, thereby achieving forensic precision without compromising printing efficiency.
3Measurement precision
If substrate analysis is performed to achieve forensic authentication, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent implements universality by designing a multi-functional computational model that performs multiple forensic analysis tasks simultaneously. The same substrate interaction model extracts various features (geometric, optical, textural) and generates comprehensive forensic signatures, reducing the need for multiple separate analysis systems and thereby limiting the increase in device complexity.
Data Source
Figure 1A~1C
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Figure 4~5D
AI summary
A forensic authentication system includes an imaging device to capture an image of a printed mark and a non-printed area of a substrate directly adjacent to the printed mark, and a processor to run computer readable instructions. The processor can run computer readable instructions to utilize a model to define a substrate region that corresponds with at least a portion of the non-printed area of the substrate directly adjacent to the printed mark; and computer readable instructions to generate a substrate signature for the defined substrate region. Each of the computer readable instructions is embedded on a non-transitory, tangible computer readable medium.