ID Document Image Recognition for Remote Authenticity Checks

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Solution Overview

Problem

Existing methods for remotely verifying the authenticity of identification documents lack direct verification of the original document and rely on insufficient technical knowledge and tools, leading to security risks and inefficiencies in establishing remote relationships.

Innovation Solution

An image recognition method that analyzes identification documents through a series of verification steps, including typological, structural, compilation, compatibility, and evaluation checks, using pre-set sensitive areas and artificial intelligence to determine the authenticity of the document based on comparison with stored data.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If remote document verification is performed without direct operator analysis, then processing speed increases, but security reliability decreases

Engineering Contradiction:

Improvedocument verification speedVSAvoidauthenticity verification accuracy

Core Design Contradiction:

ProductivityVSReliability

Solution Approach 1:

The patent replaces manual operator analysis with an automated image recognition system that uses computer vision algorithms to detect document authenticity. The system processes document images through multiple verification steps including typological, structural, compilation, compatibility, and evaluation checks, eliminating the need for human operators while maintaining high security standards.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The document verification system performs self-verification by automatically analyzing document images against stored reference data and authenticity criteria. The system independently completes the entire verification process without human intervention, from initial image acquisition through final authenticity determination, enabling both speed and reliability.

Inventive Principle:

Principle #25Self-service

2Measurement precision

If multiple verification steps are implemented, then authentication accuracy improves, but processing complexity increases

Engineering Contradiction:

Improveauthenticity detection accuracyVSAvoidverification system complexity

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The verification system is divided into distinct functional modules: typological verification, structural verification, compilation verification, compatibility verification, and evaluation. Each module performs a specific aspect of authenticity checking, allowing the system to maintain high accuracy through comprehensive verification while managing complexity through modular architecture.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The image recognition system serves multiple functions within a single integrated platform: it performs typological analysis, structural validation, data compilation verification, compatibility checking, and overall authenticity evaluation. This multi-functionality reduces the need for separate verification systems while maintaining comprehensive security checks.

Inventive Principle:

Principle #6Universality (Multi-functionality)

3Productivity

If automated image recognition is used, then operational efficiency increases, but technical knowledge requirements increase

Engineering Contradiction:

Improveverification throughputVSAvoidsystem technical sophistication

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The patent employs sophisticated image recognition technology that automatically performs complex analytical tasks previously requiring expert human knowledge. The system uses computer vision and pattern recognition algorithms to detect document authenticity features, eliminating the need for operators with specialized technical knowledge while maintaining high verification standards.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The system introduces an intermediary layer of automated analysis between document submission and authenticity determination. This intermediary image recognition system translates complex document features into verifiable data points, bridging the gap between raw document images and authenticity conclusions without requiring end-users to understand the underlying technical complexity.

Inventive Principle:

Principle #24Intermediary (Mediator)

Data Source

PatentUS20250378709A1Image recognition process for a recognition document

Publication Date: 2025.12.11 PHERSEI SRL

AI summary

Some embodiments relate to an image recognition process, to verify an authenticity of a recognition document by means of an acquisition of at least one image of the recognition document, wherein the process is implemented on an electronic computer comprising at least one processor for performing operations of the process and at least one memory. The process can include a step of acquisition; a plurality of verification steps comprising type verification step, structural control step, compilation analysis step, compatibility verification step, evaluation step; a plurality a varification steps of discrepancy; and a step of generation of an outcome.