Document Verification via Combined Authenticity and Plausibility Checks
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current methods for verifying uniquely assigned documents, such as ID cards, are insufficient in detecting various types of forgeries and lack reliability, especially when authenticity features are difficult to forge or separate from the document.
Innovation Solution
A verification method that combines an authenticity check with a plausibility check, using a database network to compare read data from the document with reference and plausibility data, including dynamic personal/factual data, to ensure consistency and logical-qualitative matches, enhancing the reliability of the verification process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If only authenticity features are used for verification, then the verification process is simple and quick, but the reliability and ability to detect forgeries is insufficient
Solution Approach 1:
The patent combines two previously separate verification approaches (authenticity check and plausibility check) into a unified verification system. The authenticity check verifies security features while the plausibility check validates logical consistency of document data, and both are integrated to work together for comprehensive document verification, thereby improving reliability without excessive complexity increase
Solution Approach 2:
The verification system is designed to perform multiple functions: it conducts both authenticity verification (checking security features) and plausibility verification (checking logical consistency of personal data, document validity, and cross-database consistency). This multi-functional approach allows a single system to address various aspects of document verification, improving overall reliability
2Reliability
If static authenticity features are used, then the verification is straightforward, but dynamic changes in personal data over time cannot be detected
Solution Approach 1:
The system performs preliminary actions by pre-storing reference data (valid document templates, authorized personal data patterns, institution credentials) in databases before verification occurs. During verification, the system compares current document data against these pre-established reference data, enabling detection of inconsistencies without requiring complex real-time analysis
Solution Approach 2:
The verification system implements feedback mechanisms by comparing document data against stored reference data and plausibility criteria, then using the results to determine document validity. The system provides feedback on whether the document passes verification and why, enabling continuous improvement and adaptation of verification criteria
Data Source
Figure 1
Figure 2~3
AI summary
A method for verifying a personal document (10) unambiguously assigned to one person comprises conducting both an authenticity check (S6) and a plausibility check (S7) of the personal document (10). In order to check the authenticity of the personal document (10), an unambiguous identifier (11) is read out therefrom (S1), on the basis of which reference data (37) is determined in a database network (30, 32) (S3) and compared to comparison data (12) from the personal document (10) during the authenticity check (S6). The plausibility check is conducted by determining, on the basis of the identifier (11) and/or on the basis of the reference data (37) and/or on the basis of personal or objective data (13, 14, 15) specified on the personal document (10), plausibility data (33, 34) in the database network (30, 32) (S4), on the basis of which the plausibility of the personal document (10) is checked (S7).