Deterministic Digital Identity Document Matching
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Solution Overview
Problem
The digitalization of identity documents complicates the verification process, as individuals face challenges in determining which documents to present to satisfy specific verification requests, while also managing privacy concerns and efficiency, especially when multiple forms of identification are required.
Innovation Solution
A computer program product and system that utilize machine-readable metadata to perform deterministic matches, allowing for the selection and presentation of the appropriate digital identity documents based on requested document types and attributes, thereby streamlining the verification process and ensuring privacy protection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If digital identity documents are stored and managed electronically, then accessibility and convenience are improved, but the complexity of selecting and verifying the correct document type increases
Solution Approach 1:
The verification system segments the document selection process by breaking down the verification request into specific document type requirements. The system divides the repository of electronic identity documents into categorized groups based on document types (driver's license, passport, state ID, etc.), allowing the verification device to systematically search and match documents against specific criteria rather than presenting all documents at once.
Solution Approach 2:
The verification device acts as an intermediary between the user and the document repository. It receives verification requests, automatically searches the stored electronic identity documents, performs deterministic matching based on document type specifications, and presents only the relevant documents to the user. This intermediary function eliminates the need for users to manually navigate through all their digital documents.
2Adaptability or versatility
If multiple forms of identification are stored for different situations, then adaptability to various verification scenarios is improved, but the burden of managing and selecting the appropriate document increases
Solution Approach 1:
The system performs preliminary actions by pre-categorizing and tagging all electronic identity documents with their respective document types during the initial storage phase. Each document is metadata-tagged with its type (driver's license, passport, state ID, etc.), creating an organized structure that enables rapid retrieval. When a verification request arrives, the system already has the documents prepared and indexed for quick matching.
Solution Approach 2:
The verification system implements feedback by receiving verification requests with specific document type requirements and automatically adjusting its search and selection process. The system provides feedback to the user by presenting only the documents that match the verification requirements, eliminating unnecessary documents from the selection process and reducing the time needed to determine which document to present.
3Productivity
If automatic document matching is implemented, then verification efficiency is improved, but the requirement for structured metadata and deterministic matching logic increases system complexity
Solution Approach 1:
The system applies parameter changes by transforming unstructured or semi-structured electronic identity documents into a standardized format with deterministic metadata parameters. Each document is assigned specific parameters including document type, issuing authority, expiration date, and other verification-relevant attributes. This parameterization enables efficient database querying and deterministic matching without requiring complex artificial intelligence algorithms.
Data Source
AI summary
A method, computer program product, and system obtaining and identity verification request that include a specification for one or more electronic identity documents including one or more requested document types to fulfill the identity verification request. One or more processors locate at least one electronic identity document including each of the requested document types. Each electronic identity document in the repository includes machine readable metadata that includes the document type of that document. The one or more processors perform a deterministic match to select one electronic identity document including each of the one or more requested document types to utilize in formulating a response to the identity verification request and formulate a response to the identity verification request, based on the selected electronic identity document(s).