Security Hologram Authenticity Verification via Glare Position Analysis
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing methods for authenticating identification documents, particularly those with security holograms, face challenges in differentiating fake documents due to issues like camera instability and poorly taken images, and struggle to accurately evaluate the position of security features under varying light conditions.
Innovation Solution
A method that involves receiving a real-time video feed of an identification document illuminated by a light source, processing it into image sequences, analyzing the position of the glare and security hologram, and using an algorithm to determine if they align with the light source, while rejecting images with multiple glare or hologram regions to provide an authenticity result.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a light source is used to illuminate the identification document to make the security hologram visible, then the security feature becomes detectable, but fake documents with printed holograms can also be made visible regardless of light direction
Solution Approach 1:
The verification process is segmented into multiple sequential steps: first detecting the glare position, then using it to locate the security hologram, and finally verifying their spatial relationship. This segmentation allows the system to systematically eliminate fake documents while identifying authentic ones through a structured multi-stage validation process.
Solution Approach 2:
The glare serves as an intermediary element that mediates between the light source and the security hologram detection. By using the glare position as a reference point to locate and verify the hologram, the system creates a reliable chain of verification that distinguishes authentic documents from fakes with printed holograms.
2Measurement precision
If multiple images are taken to ensure security features are visible, then authentication accuracy improves, but the verification process time increases
Solution Approach 1:
The system performs preliminary detection of the glare and security hologram positions in real-time video feeds, allowing it to pre-identify valid frames that contain the necessary security features. This preliminary action enables the system to select only suitable images for detailed analysis, reducing the need to process multiple images and thereby decreasing verification time while maintaining high authentication accuracy.
3Productivity
If real-time video feed is used for verification, then the verification process is faster, but image quality and stability deteriorate
Solution Approach 1:
The system incorporates feedback mechanisms that continuously monitor the real-time video feed for images containing both glare and security hologram in the correct spatial relationship. Based on this feedback, the system can identify and select high-quality frames for verification, effectively filtering out poor-quality images while maintaining real-time processing speed. This feedback-driven selection ensures that only suitable images are subjected to detailed analysis.
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 enhances the accuracy and consistency of authenticity evaluation by ensuring the light source is correctly positioned relative to the security hologram, reducing false positives and improving the reliability of identity verification.
Implementation Method 1
a light source directed at the identification document to make visible a security hologram
Data Source
AI summary
The invention relates to a method to determine authenticity of a security feature of an identification document, comprising: receiving a real-time video feed of the identification document with a light source directed at the identification document to make visible a security hologram; processing the real-time video feed into a plurality of image sequence; analysing each image from the plurality of image sequence for a glare and the security hologram, wherein the glare is a reflection of the light source from the identification document; analysing the position of the glare and the security hologram in each image; evaluating whether the position of the glare and the position of the security hologram is caused by the light source; providing authenticity result of the identification document captured from the real-time video feed, and using an algorithm to generate a random designated region for the light source to be positioned to.