Digital Identity Verification via API Normalization and Biometric Matching
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Solution Overview
Problem
Existing digital identity verification systems lack the ability to authoritatively verify identities in digital interactions, leading to inaccuracies, inconsistencies, and a lack of convenience, especially in high-stakes contexts like state or national levels, and do not provide a secure, accurate, and widely accepted digital ID.
Innovation Solution
A method and system that securely verifies identities by receiving personal and biometric information from user devices, matching it against authoritative government-issued ID data, and issuing digital identification credentials through an application services computation and storage environment, integrating data from multiple disparate sources and utilizing biometric analysis for secure authentication.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional physical identification cards or documents are used for identity verification, then the process is simple to implement, but the accuracy and security are insufficient and susceptible to fraud
Solution Approach 1:
The patent introduces an intermediary verification system that acts as a mediator between the user and the relying party. This system retrieves authoritative identification data from government databases, performs automated verification, and returns verification results. The intermediary handles the complexity of data retrieval, formatting, and comparison, while providing a simple verification interface to end users.
Solution Approach 2:
The patent replaces manual mechanical verification processes (physical ID inspection, manual data entry) with automated electronic systems. The system automatically retrieves data from government databases, performs biometric comparisons, and generates verification results without human intervention, thereby improving accuracy while managing complexity through automation.
2Measurement precision
If manual data entry is used by the relying party, then the process is straightforward, but errors and inaccuracies occur
Solution Approach 1:
The system enables self-service by automatically retrieving authoritative identification data from government databases without requiring manual data entry by the relying party. The system autonomously formats, validates, and compares the retrieved data, eliminating human error while maintaining operational simplicity through automated workflows.
Solution Approach 2:
The patent replaces manual data entry operations with automated electronic data retrieval and processing. The system electronically queries government databases, automatically formats the returned data, and performs comparisons without human intervention, thereby achieving high data accuracy while simplifying the operational process.
3Reliability
If physical identification credentials are used, then no additional technology is needed, but the credentials contain outdated or inaccurate information even after updates in the issuing authority's database
Solution Approach 1:
The system performs preliminary actions by proactively retrieving the most current identification data from government databases before the verification process. This ensures that the relying party always accesses up-to-date information without needing to manually update credentials. The system establishes data freshness in advance through automated queries to authoritative sources.
Solution Approach 2:
The intermediary verification system acts as a real-time connector between the relying party and government databases. It automatically queries the latest data, formats it appropriately, and delivers it to the verification process, ensuring information currency without requiring complex synchronization mechanisms at the relying party's end.
4Reliability
If existing digital identity verification systems are used, then convenience is improved, but the ability to authoritatively verify identities is lacking
Solution Approach 1:
The patent creates a universal verification system that can authenticate identities across multiple contexts and relying parties through a single standardized interface. The system retrieves authoritative data from government databases and provides verification services to any relying party that implements the specified interface, eliminating the need for separate verification systems for each application while maintaining authoritative verification capability.
Solution Approach 2:
The intermediary verification system serves as a centralized mediator that handles all authoritative verification operations. It manages the complexity of interfacing with multiple government databases, standardizes data formats, and provides consistent verification services to all relying parties, thereby achieving authoritative verification without requiring each system to independently integrate with government databases.
5Measurement precision
If biometric data is collected and stored, then verification accuracy is improved, but security risks and data privacy concerns increase
Solution Approach 1:
The verification system acts as a secure intermediary that handles biometric data processing without requiring the relying party to store or possess the actual biometric data. The system retrieves authorized biometric data from secure government databases, performs matching operations, and returns verification results. This intermediary approach enables high-accuracy biometric verification while minimizing security risks by keeping sensitive data centralized and protected.
Data Source
AI summary
The present disclosure provides a method for secure verification of identities. The method includes obtaining personal identifying information from an individual using a remote device and transmitting the information to an application service. The application service accesses multiple disparate data sources via an API, including public entity data sources, third party data sources, and services sources. The API normalizes data received from the disparate data sources. The personal identifying information is verified against the normalized data. Biometric identifying information is obtained from the individual using the remote device and transmitted to the application service. The biometric identifying information is compared with normalized biometric data from the disparate data sources. Based on the comparison, a determination is made whether to issue a digital identification credential to the individual. An authentication result is transmitted to the remote device.