Dynamic Line Pattern Embedding for Secure Identification Verification
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Physical and digital identifications are susceptible to fraud and counterfeiting due to pre-configured security features that cannot be adjusted after issuance, making them ineffective in verifying authenticity over time.
Innovation Solution
A system generates identifications with distinctive line patterns corresponding to secure customer information, allowing for periodic adjustments and verification, using a dithering matrix to transform images and embed invisible or visible patterns for enhanced security.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If pre-configured security features are used in identifications, then the issuance process is simplified and consistent, but the security features cannot be adjusted after issuance making them susceptible to fraud and counterfeiting
Solution Approach 1:
The patent applies dynamics by making security features adjustable and changeable after issuance. The system periodically adjusts line patterns, holographic images, and other security features based on risk assessments, threat levels, and verification results. This dynamic adjustment capability allows security features to evolve over time, preventing them from becoming compromised while maintaining issuance efficiency through automated processes.
Solution Approach 2:
The patent implements parameter changes by modifying various attributes of security features including line pattern density, holographic image characteristics, ultraviolet response properties, and infrared absorption features. These parameter changes enable the security features to adapt to emerging threats while maintaining compatibility with existing verification systems.
2Productivity
If general security features are used that are applicable to a general population, then the issuance process is efficient and standardized, but the identifications are susceptible to fraud when security features become compromised
Solution Approach 1:
The patent applies local quality by implementing both general security features for standardized issuance and unique personalized security features for each identification. Each identification receives customized line patterns, holographic variations, and security element configurations that are specific to that document while maintaining overall system efficiency through automated generation processes.
Solution Approach 2:
The patent segments security features into multiple independent layers including visible line patterns, holographic elements, ultraviolet responses, and infrared characteristics. This segmentation allows each layer to be independently verified and adjusted, maintaining high issuance efficiency while enhancing security through multi-factor verification.
3Ease of operation
If security features are made visible to the human eye for manual verification, then ease of verification is improved, but machine detection and automated verification become more difficult
Solution Approach 1:
The patent implements universality by designing security features that simultaneously serve multiple functions: visible line patterns and holographic images enable easy manual verification, while embedded unique identifiers, frequency modulations, and multi-spectral characteristics facilitate automated machine detection. Each security feature is engineered to work across both manual and automated verification systems.
Solution Approach 2:
The patent uses intermediary elements such as optically variable inks, holographic gratings, and multi-spectral markers that bridge the gap between human-visible features and machine-detectable characteristics. These intermediaries enable seamless integration of manual and automated verification processes without compromising either approach.
Data Source
AI summary
In some implementations, a system is capable of generating identifications that include distinctive line patterns corresponding to different portions of secure customer information. Data indicating an input image, and a dithering matrix representing a two-dimensional array of pixel values is obtained. Pixel values of pixels included in the input image are transformed using the dithering matrix. For each pixel within the input image, the transformation includes identifying a particular pixel value within the dithering matrix that represents a particular pixel within the input image, and adjusting an intensity value of the particular pixel based on attributes of the dithering matrix. A transformed image is generated based on the transformation and then provided for output.