Identity Verification via Name Matching Rules
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Solution Overview
Problem
Conventional document management systems fail to accurately validate user identities when identity information differs from the expected result, leading to prevention of legitimate users from interacting with documents or performing actions.
Innovation Solution
A document management system performs name matching operations by comparing identity data from various sources with recipient name data, applying a set of name matching rules to determine acceptable alternative representations, such as differing letter cases, diacritics, transliterations, and name types, to verify identities and authorize actions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional document management systems use exact matching for identity verification, then security is improved, but legitimate users with alternative name representations are incorrectly rejected
Solution Approach 1:
The system changes the verification parameter from exact string matching to similarity-based matching using name matching rules. These rules account for variations in letter case, diacritics, transliterations, and name format differences, allowing the system to verify identities based on semantic equivalence rather than strict character matching.
Solution Approach 2:
Instead of requiring the user's provided name to exactly match the stored name, the system inverts the approach by checking if the stored name can be transformed into the provided name through acceptable variations. This inversion allows the system to accommodate alternative representations while maintaining verification security.
2Object-affected harmful factors
If document management systems apply strict identity validation rules, then security against unauthorized access is improved, but legitimate users with name variations are prevented from accessing documents
Solution Approach 1:
The system segments the name verification process into multiple independent checks, each handling specific types of variations (case sensitivity, diacritics, transliterations, name order). By dividing the verification into modular rules, the system can selectively apply appropriate checks while maintaining overall security and accuracy.
Solution Approach 2:
The patent introduces an intermediary layer of name matching rules that mediates between the strict stored identity data and the user's provided name. This intermediary layer transforms and compares names using configurable rules, serving as a bridge that reconciles variations while maintaining verification integrity.
3Ease of operation
If the system accepts alternative representations of names, then user accessibility is improved, but measurement precision of identity verification decreases
Solution Approach 1:
The system applies different levels of matching strictness to different parts of the name based on their importance. Critical components like last names are matched with higher precision, while more variable components allow greater flexibility. This local differentiation maintains overall accuracy while accommodating necessary variations.
Data Source
AI summary
A document management system performs name matching operations to validate an identity claimed by a recipient of a document. To validate a claimed identity the document management system compares name data obtained from an identity data source with name data corresponding to a recipient entity of a document to determine whether name features of the identity source name data match recipient name data. The name matching operations may include applying a set of name matching rules to the identity source name data and the recipient name data to determine whether features that differ between the identity source name data and the recipient name data are acceptable alternative representations. Responsive to successfully validating the identity, the system may authorize the recipient to perform actions on the document. Identity source name data may be received from a variety of identity data sources, such as an identity document or a trusted service provider.