Document Region Hashing for Fast Authenticity Verification

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Solution Overview

Problem

Manual document verification processes are time-consuming, prone to human error, and costly for organizations, especially in verifying identification documents for new accounts.

Innovation Solution

A hashing algorithm is used to generate hash values for documents, allowing for efficient comparison and verification of individual document regions, with the option of storing these values in databases or blockchain ledgers to ensure authenticity.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If manual verification is used, then verification accuracy can be maintained, but time consumption and cost increase significantly

Engineering Contradiction:

Improveverification accuracyVSAvoidtime consumption

Core Design Contradiction:

ReliabilityVSLoss of time

Solution Approach 1:

The patent replaces the manual mechanical verification process with an automated computer-based system that uses image processing algorithms to compare documents, thereby eliminating human labor while maintaining verification accuracy and significantly reducing time consumption

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The system creates digital copies of physical documents and compares them using image processing techniques, allowing for accurate verification without handling the original documents manually, thus reducing time and cost while maintaining accuracy

Inventive Principle:

Principle #26Copying

2Reliability

If manual verification is used, then verification thoroughness can be ensured, but operational complexity and cost increase

Engineering Contradiction:

Improveverification thoroughnessVSAvoidoperational complexity

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The patent replaces complex manual verification operations with automated image processing systems that use algorithms to detect, compare, and verify document features, reducing operational complexity while maintaining thoroughness through systematic automated analysis

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

3Productivity

If automated verification is implemented, then speed and efficiency improve, but system complexity increases

Engineering Contradiction:

Improveverification speedVSAvoidsystem complexity

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The patent divides the document verification process into separate modular stages including image capture, document segmentation, feature extraction, and comparison, which simplifies the overall system architecture while maintaining high verification speed and efficiency through automated processing

Inventive Principle:

Principle #1Segmentation

Data Source

PatentUS12585825B2Document authenticity verification

Publication Date: 2026.03.24 BAZARRAGCHAA ZORIGT

AI summary

A technique for verifying information within a document id disclosed. The method comprises receiving two documents, a first document with known correct information and a second document for which the information needs to be verified. The method further comprises dividing each document into a series of corresponding regions based on the information found in each region. The method further comprises generating a hash value for each region through the use of a hashing algorithm. The method further comprises verifying the second document by comparing the hash values of each region to the corresponding hash values of the first document to verify that the two hash values are identical.