Anonymized Image Hashes for Document Authentication
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current systems lack efficient methods to determine the authenticity of user-submitted identification documents by comparing them against previously determined authentic or fraudulent documents without revealing personally identifiable information (PII), which is restricted by privacy regulations.
Innovation Solution
Generating anonymized image hashes from user-submitted document data and comparing them with stored hashes associated with predetermined authentication decisions, allowing for automatic authentication without exposing PII.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional document verification systems store and compare complete document images or extracted PII data, then authentication accuracy can be maintained, but privacy regulations are violated and data security risks increase
Solution Approach 1:
The patent extracts only the essential visual features of documents (such as layout patterns, security element positions, and structural characteristics) to create hash values, while deliberately excluding personally identifiable information like names, addresses, and document numbers. This extraction approach maintains authentication capability while eliminating privacy violations.
Solution Approach 2:
The patent introduces hash values as an intermediary representation between the original document image and the authentication database. These hash values serve as a mediator that preserves the unique identification characteristics of documents without containing any PII, thus enabling accurate comparison while complying with privacy regulations.
2Measurement precision
If complete document images are stored for verification comparison, then verification accuracy is maintained, but processing time and computational resources increase
Solution Approach 1:
The patent creates simplified copies of document images in the form of hash values that capture essential verification features. These hash copies are much smaller and faster to process than complete images, yet retain sufficient information for accurate authentication decisions.
Solution Approach 2:
The patent transforms the document image data from its original complex format into a simplified hash parameter representation. This parameter transformation reduces the data dimensionality while preserving the critical features needed for verification, thereby reducing processing time without sacrificing accuracy.
3Reliability
If PII data is stored and processed for document verification, then comprehensive authentication can be performed, but data security risks and regulatory compliance costs increase
Solution Approach 1:
The patent extracts only the non-PII visual characteristics of documents (such as document structure, security feature patterns, and layout arrangements) to create authentication hashes. This selective extraction eliminates the need to store or process sensitive PII data while maintaining sufficient information for comprehensive authentication.
Solution Approach 2:
The patent uses disposable hash values that are generated, compared, and then discarded after each verification transaction. These temporary hash representations replace the need for persistent storage of sensitive document data, reducing both security infrastructure requirements and regulatory compliance burdens.
Data Source
AI summary
Computer systems and methods are provided for determining authenticity of a document. A computer system receives first image data from a remote third party. The first image data includes a first image of a document. The computer system generates an image hash based on at least a portion of the received image data. The computer system compares the generated image hash with a stored image hash to determine whether the generated image hash meets image matching criteria. The stored image hash is associated with a first predetermined authentication decision. In accordance with a determination that the generated image hash meets the image matching criteria, the computer system transmits the first predetermined authentication decision to the remote third party.