Secure Document Authentication with Edge-Pattern Merging
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Solution Overview
Problem
Current methods for authenticating secure documents with anti-counterfeit patterns suffer from low accuracy due to document deformation and random pattern positions, leading to unsatisfactory authentication success rates and numerous false alerts.
Innovation Solution
A method that combines partial anti-counterfeit patterns from opposite edges of a document to form a complete pattern, using a deep learning model like YOLO to authenticate the document based on the combined pattern, along with additional information from the content between the edges.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If partial anti-counterfeit patterns at document edges are used for authentication, then the authentication process can be simplified, but the authentication accuracy deteriorates due to document deformation and random pattern positions
Solution Approach 1:
The patent combines partial anti-counterfeit patterns from both edges of the document to form a complete pattern for authentication. This merging approach allows the system to maintain simple edge-based detection while improving accuracy by reconstructing complete patterns that are less susceptible to deformation and positioning variations.
2Reliability
If anti-counterfeit patterns are randomly positioned during manufacturing, then document security is enhanced, but authentication reliability deteriorates due to pattern deformation and illegibility
Solution Approach 1:
The patent performs preliminary processing by detecting and combining partial patterns from both edges before authentication. This preliminary action reconstructs complete patterns in advance, allowing the authentication system to work with fully formed patterns rather than fragmented ones, thereby maintaining security while improving detection accuracy.
3Measurement precision
If only complete anti-counterfeit patterns are used for authentication, then authentication accuracy is maintained, but the authentication system fails to handle deformed or partial patterns from document fatigue
Solution Approach 1:
The patent segments the anti-counterfeit pattern into multiple partial segments positioned at different edges of the document. This segmentation allows the system to collect pattern information from multiple locations, and by combining these segments, reconstruct complete patterns even when individual segments are deformed or partially damaged due to document fatigue.
Data Source
Figure 1A~1C
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Figure 5A~5C
AI summary
The present invention relates to a method for authenticating a document comprising at least one line of anti-counterfeit patterns spaced from each other, the positions of the anti-counterfeit patterns being random, and a partial anti-counterfeit pattern being provided at an edge line of said document, the method comprising the following steps of: - receiving (301) a digital image of said document, said digital image comprising said partial anti-counterfeit pattern in a first edge area corresponding to said edge line; - selecting (303) said first edge area; - copy-pasting (304) said first edge area adjacent to a second edge area of the digital image to generate a combined digital image, said second edge area being opposite to said first edge area, wherein content, which is comprised in said second edge area and located on the same line as said partial anti-counterfeit pattern, and said partial anti-counterfeit pattern jointly form a combined pattern; - authenticating (305) said document by taking into account said combined pattern.