Secure Document Authentication Through OCR-Based Location Matching
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Solution Overview
Problem
Existing authentication systems are vulnerable to incorrect identity verification due to the inability to distinguish between the rightful owner of an identification document and an imposter, leading to resource wastage in forensic examinations and unauthorized access.
Innovation Solution
A system that utilizes a secure document with location-based authentication, combining image analysis of the document and device location to determine a confidence score indicating the likelihood that the user is the rightful owner, using techniques like optical character recognition and machine-readable codes to extract appearance and address information, and comparing it with a live user image and device location.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional authentication methods are used to verify user identity, then the authentication process can be completed, but the system is vulnerable to imposter access and requires resource-intensive forensic examinations
Solution Approach 1:
The system performs preliminary actions by extracting and storing location information from the document before authentication occurs. During authentication, the device location is obtained and compared against the pre-stored location data, enabling quick verification without requiring forensic examinations after potential security breaches.
Solution Approach 2:
The authentication process is segmented into multiple independent verification steps: document image analysis, location information extraction, device location acquisition, and confidence score calculation. This segmentation allows the system to efficiently process each aspect separately and avoid resource-intensive operations unless necessary.
2Measurement precision
If location-based authentication with document analysis is implemented, then authentication accuracy is improved, but the device complexity increases
Solution Approach 1:
The system uses a multi-functional approach where a single authentication system handles multiple verification tasks: optical character recognition for location extraction, machine-readable code scanning, metadata analysis, and device location tracking. This universality reduces the need for separate specialized systems while maintaining high verification accuracy.
Solution Approach 2:
The patent introduces an intermediary confidence score that mediates between the document analysis results and the final authentication decision. This confidence score synthesizes multiple data sources (location correlation, image analysis, metadata) into a single measurable metric, simplifying the decision-making process while maintaining high precision.
3Reliability
If optical character recognition and machine-readable code scanning are used to extract location information, then the reliability of location verification is improved, but the processing time increases
Solution Approach 1:
The system applies partial action by selectively using different extraction methods based on document type and available data. Not all documents require both optical character recognition and machine-readable code scanning; the system performs only the necessary extraction actions to achieve sufficient location verification accuracy, reducing unnecessary processing time.
Data Source
AI summary
In some implementations, a device may obtain, from a user device, a document image that depicts location information associated with an owner of the document. The device may obtain location information associated with the user device. The device may perform optical character recognition using the document image to obtain a location, or may scan a machine-readable code depicted in the document image to obtain the location. The device may determine a device location based on the location information. The device may determine a confidence score based on the location and the device location. The device may determine whether the confidence score satisfies a threshold. The device may perform an action based on determining whether the confidence score satisfies the threshold.