Document Integrity Verification via Optical Image Comparison

Resolve Bottlenecks,
Find Innovative Solutions
Generate Solutions

Solution Overview

Problem

Current methods for verifying the integrity of documents, especially those without electronic components, are inadequate as they often rely on time-consuming and complex cryptographic procedures, and fail to reliably detect manipulations of optically detectable personal data such as facial images.

Innovation Solution

A computer-implemented method using an optical sensor to capture a digital image of a document, applying irreversible information-loss computing functions to transform the image data into depersonalized reference data that is unique to the document, allowing for quick and reliable verification without storing sensitive personal data, and using a database to store and compare these reference data for integrity checks.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If cryptographic methods and electronic components are used for integrity verification, then security and reliability are improved, but time consumption and system complexity increase

Engineering Contradiction:
Improveintegrity verification reliabilityVSAvoidverification time
Core Design Contradiction:
ReliabilityVSLoss of time

Solution Approach 1:

The patent creates a digital copy of the document's visual characteristics (image data) and stores it as reference data. During verification, the current document image is compared with the stored reference image, enabling fast visual comparison without complex cryptographic operations. This copying approach allows rapid integrity checking while maintaining reliability.

Inventive Principle:
Principle #26Copying

Solution Approach 2:

The patent replaces complex cryptographic verification systems with a simpler optical comparison system. Instead of using cryptographic hashes and digital signatures that require complex computation, the system uses optical sensors to capture images and compares them visually, substituting mechanical/optical processes for electronic/cryptographic ones, thereby reducing verification time.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

2Reliability

If electronic components and cryptographic methods are used for integrity verification, then security is improved, but device complexity increases

Engineering Contradiction:
Improveintegrity verification reliabilityVSAvoidverification system complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The system creates a digital copy of the document's visual appearance and stores it as reference data. This copying approach simplifies the verification process by reducing it to a simple image comparison task, eliminating the need for complex cryptographic hardware and software components.

Inventive Principle:
Principle #26Copying

Solution Approach 2:

The patent extracts only the visually relevant information from the document (the image data representing personal characteristics) and uses this extracted data for verification. By taking out only the necessary visual features and ignoring complex electronic verification mechanisms, the system achieves simplicity while maintaining security through visual comparison.

Inventive Principle:
Principle #2Taking out (Extraction)

3Measurement precision

If original document images are stored for verification purposes, then verification accuracy is improved, but data protection risks and data loss increase

Engineering Contradiction:
Improveverification accuracyVSAvoiddata protection risks
Core Design Contradiction:
Measurement precisionVSObject-affected harmful factors

Solution Approach 1:

The system extracts only the visual characteristics of the document (image data representing personal traits) and stores this extracted information as reference data. By extracting only the necessary visual features for comparison and not storing the complete original documents or sensitive metadata, the system maintains verification accuracy while minimizing data protection risks.

Inventive Principle:
Principle #2Taking out (Extraction)

Solution Approach 2:

The patent creates a simplified digital copy of the document's visual characteristics for storage and verification purposes. This copying approach allows the system to store only the essential visual information needed for comparison rather than the complete original documents, reducing the attack surface for data breaches while maintaining verification capability.

Inventive Principle:
Principle #26Copying

Applied Scientific Principles

This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.

Function Achieved in This Case

Enables efficient and secure verification of document integrity, preventing unauthorized manipulation of personal data while ensuring accurate detection of even minor changes, without violating data protection laws or risking data theft.

Implementation Method 1

Capturing a digital image of at least part of a document using an optical sensor

Methodology Applied
Scientific EffectOptical detection: Photoelectric Effect

Data Source

PatentEP3889922B1Integrity check of a document with personal data
Publication Date: 2023.11.29 BUNDESDRUCKEREI GMBH
  • EP3889922B1 patent drawingFigure 1A~2
  • EP3889922B1 patent drawingFigure 3A~3B
  • EP3889922B1 patent drawingFigure 3C

AI summary

The invention relates to a computer-implemented method for verifying the integrity of a document. The method comprises: - capturing (110) a test image (918, 404, 504) by a camera (902), wherein the test image is a digital image of a document containing personal data (706); - calculating (112) image verification data (927) by applying an irreversible, lossy computational function (816) to intensity data of pixels of the test image; and - identifying (114) image reference data (822, 832) that are linked to the document and stored in a database (825); - calculating (116) a similarity indicator by comparing the image verification data and the identified image reference data; - using (118) the document and/or performing a function only if the similarity index exceeds a minimum value.