Digital Image Processing for Secure User Identification
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Solution Overview
Problem
In network-based transactions, there is a risk of executing transactions with unintended users due to similarities in unique device identifiers, leading to irreversible errors when recorded in distributed ledgers, necessitating a secure user identification system.
Innovation Solution
A system using digital image processing that extracts features from an input image, determines a secure image match, embeds a unique device identifier using NFTs, and records it in a distributed ledger to ensure accurate user identification and authorization for network transactions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If unique device identifier is used for user identification in network transactions, then transaction execution is enabled, but transaction accuracy deteriorates due to similar identifiers causing misidentification
Solution Approach 1:
The patent transitions from one-dimensional text-based unique device identifiers to two-dimensional image-based identifiers. By embedding unique device identifiers within images that can be visually verified and processed through image recognition algorithms, the system adds a spatial dimension to identification, enabling both ease of operation and high accuracy in user identification.
Solution Approach 2:
The patent introduces an image as an intermediary between the user and the transaction system. Instead of directly using text identifiers that can be easily confused, the system uses images containing embedded identifiers as a mediator, which are processed through recognition algorithms to ensure accurate user identification while maintaining operational simplicity.
2Measurement precision
If digital image processing is implemented for secure user identification, then user identification accuracy is improved, but device complexity increases
Solution Approach 1:
The patent implements a multi-functional system where the image processing platform performs multiple tasks: storing images, extracting features, comparing images, and verifying identities. By creating a universal platform that handles all these functions, the system manages complexity through consolidation rather than proliferation of separate components.
Solution Approach 2:
The system employs automated image processing algorithms that self-perform feature extraction, image comparison, and identification verification without requiring manual intervention. This self-service approach handles the computational complexity internally, presenting a simplified interface to users while maintaining high identification accuracy.
3Reliability
If manual verification of user identity is performed, then transaction security is improved, but productivity decreases due to time-consuming processes
Solution Approach 1:
The patent replaces manual mechanical verification processes with automated digital image processing systems. Computer algorithms automatically extract features from images, compare them against stored references, and verify user identities, substituting human operators with automated systems that maintain security while dramatically increasing processing speed and productivity.
Data Source
AI summary
Systems, computer program products, and methods are described herein for secure user identification using digital image processing. The present invention is configured to receive, via a first user input device, an input selection of a first image from a first user, wherein the first image is associated with a second user; extract features of the first image; determine a secure image matching the first image based on at least the features of the first image; extract, from the secure image, a unique device identifier associated with the second user embedded thereon; and transmit control signals configured to cause the first user input device to display the unique device identifier.