Morphed Image Detection Logic for Secure ID Access

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Solution Overview

Problem

Existing systems are ineffective in detecting morphed images on ID cards, which can lead to security risks such as unauthorized access and identity fraud, as humans have limited ability to identify photo IDs and current verification systems rely solely on biometric matching.

Innovation Solution

A system comprising multiple security kiosks and surveillance cameras that capture and analyze facial images, generate similarity and dissimilarity profiles, and flag potential morphed images, integrating with access control devices to restrict access to secure areas.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Speed

If biometric matching is used for identity verification, then authentication speed is improved, but security reliability deteriorates due to vulnerability to morphed images

Engineering Contradiction:

Improveauthentication speedVSAvoidsecurity reliability

Core Design Contradiction:

SpeedVSReliability

Solution Approach 1:

The verification process is segmented into multiple independent checks: biometric matching, image quality assessment, and morph detection analysis. Each segment operates independently to evaluate different aspects of identity verification, preventing reliance on a single vulnerable method

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

An intermediary morph detection module is introduced between the biometric matching system and the authentication decision. This intermediary analyzes image characteristics and detects morphed images before they can compromise the biometric system, acting as a protective layer

Inventive Principle:

Principle #24Intermediary (Mediator)

2Reliability

If multiple verification methods are implemented, then security reliability is improved, but device complexity increases

Engineering Contradiction:

Improvesecurity reliabilityVSAvoidsystem complexity

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

Multiple verification functions (biometric matching, image quality assessment, morph detection) are merged into a single integrated verification system. The morph detection module shares computational resources and processing pipelines with existing biometric systems, reducing overall system complexity while maintaining multiple security checks

Inventive Principle:

Principle #5Merging (Combining)

Solution Approach 2:

The verification system is designed with multi-functional components that perform multiple tasks. For example, the image processing pipeline simultaneously performs biometric feature extraction, image quality assessment, and morph detection, allowing one system to fulfill multiple security functions

Inventive Principle:

Principle #6Universality (Multi-functionality)

3Adaptability or versatility

If human visual inspection of ID photos is used, then adaptability to different ID formats is improved, but measurement precision deteriorates due to limited human ability to detect morphed images

Engineering Contradiction:

Improveadaptability to ID formatsVSAvoiddetection accuracy

Core Design Contradiction:

Adaptability or versatilityVSMeasurement precision

Solution Approach 1:

The manual visual inspection process is replaced with an automated computer-based morph detection system. The automated system uses image processing algorithms and machine learning models to objectively analyze facial features and detect morphed images, providing consistent and accurate detection without human limitations

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Data Source

PatentUS12437583B2Morphed image detection logic and surveillance systems

Publication Date: 2025.10.07 THE GOVERNMENT OF THE UNITED STATES OF AMERICA AS REPRESENTED BY THE SEC OF HOMELAND SECURITY

AI summary

Aspects of the present invention relate to machines, systems, and methods for detecting a morphed image on an ID card associated with a user. The invention may comprise a plurality of security kiosks, a user database, morphed image detection logic, surveillance cameras, a surveillance database, surveillance similarity logic, user identification logic, message logic, and detainment logic. The machines, systems, and methods may assist an operator in controlling access of an individual using an ID bearing a morphed image.