Identity Document Authenticity Verification via Soundex Decoding
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Solution Overview
Problem
Existing methods for authenticating identity documents via image analysis lack desired accuracy and trustworthiness, are costly, and can result in compromised security due to spoofing attacks.
Innovation Solution
A method involving an electronic device that receives an image of an identity document, extracts personal data and an identity document number, decodes the number using a soundex coding algorithm, and compares the extracted data against corresponding data to determine authenticity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If known methods for determining authenticity are used, then the authentication process can be performed, but the accuracy and trustworthiness of results do not satisfy desired requirements
Solution Approach 1:
The patent segments the identity document number into multiple groups of characters, where each group represents different items of personal data (e.g., surname, birth date, entity information). This segmentation allows for individual decoding and verification of each data element, thereby improving authentication accuracy and trustworthiness by validating multiple independent data points rather than treating the document number as a single unverified string.
Solution Approach 2:
The patent introduces a soundex coding algorithm as an intermediary tool to decode the segmented character groups from the identity document number. This intermediary decoding process transforms the encoded data into readable personal information that can be cross-verified against the document's printed data, enhancing both accuracy and reliability of the authentication process.
2Reliability
If known methods for determining authenticity are used, then authentication can be performed, but costs are excessive
Solution Approach 1:
The patent implements a self-service authentication mechanism where the identity document itself contains encoded verification data within its number structure. The soundex decoding algorithm allows the system to automatically extract and verify personal data directly from the document number without requiring external verification databases or complex analytical equipment, thereby reducing authentication costs while maintaining security.
Solution Approach 2:
The patent uses a computationally efficient soundex coding algorithm that requires minimal processing resources compared to expensive image analysis methods. This algorithmic approach acts as a low-cost verification mechanism that can be executed quickly and repeatedly without significant energy expenditure, making secure authentication economically viable.
3Productivity
If known methods for determining authenticity are used, then the process can be completed, but security is compromised due to spoofing attacks
Solution Approach 1:
The patent applies preliminary action by encoding multiple verified personal data elements into the identity document number structure before the document is even issued. The soundex decoding process allows these pre-encoded data points (surname, birth date, entity information) to be automatically extracted and verified during authentication, creating built-in anti-spoofing protections that validate the document's authenticity before any transaction occurs.
Solution Approach 2:
The patent implements feedback through the cross-verification process where decoded data from the identity document number is compared against the printed personal data on the document. This feedback loop provides immediate validation—if the decoded surname, birth date, or entity information does not match the printed data, the document is flagged as potentially fraudulent, thereby detecting spoofing attempts while maintaining authentication throughput.
Data Source
AI summary
The present disclosure provides a method for determining the authenticity of an identity document that includes receiving, by an electronic device, an image of an identity document. The document image includes facial image data and personal data of a person associated with the identity document and an identity document number. Moreover, the method includes extracting the personal data and the document number from the identity document image. The extracted personal data includes at least a surname and the extracted identity document number includes groups of characters that represent personal data and information about an entity. Furthermore, the method includes decoding a first group of the characters using a soundex coding algorithm, identifying a surname that corresponds to the decoded first group of characters, comparing the identified surname against the surname in the extracted personal data, and determining the authenticity of the identity document using a result of the comparison.