ID Verification Image Orientation and Face Match Validation

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Solution Overview

Problem

Existing systems for identification verification face challenges in ensuring the accuracy and efficiency of verifying identification documents and facial recognition, particularly in web-based environments, where orientation and quality of images can lead to false negatives or errors.

Innovation Solution

A system utilizing a web-based identification verification system with modules for file format validation, orientation verification, pattern validation, and facial recognition, which iteratively rotates images to ensure proper orientation and compares likenesses within a predetermined confidence range, while encrypting or purging sensitive information to comply with regulations.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If image orientation is not verified, then verification process is simpler and faster, but false negatives increase due to misoriented images

Engineering Contradiction:
Improveverification accuracyVSAvoidverification speed
Core Design Contradiction:
ReliabilityVSProductivity

Solution Approach 1:

The system performs preliminary orientation verification before the main facial recognition verification process. The orientation module checks if the identification card image is properly oriented before extracting facial features, preventing false negatives caused by misoriented images without delaying the overall verification process significantly.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The system implements feedback mechanisms where the orientation verification result is fed back to control the facial recognition process. If the image is determined to be misoriented, the system provides feedback to correct the orientation or request a new image, ensuring accurate verification while maintaining efficiency through automated feedback loops.

Inventive Principle:
Principle #23Feedback

2Reliability

If sensitive information is not encrypted or purged, then data processing is simpler and faster, but compliance with regulations such as Fair Housing laws is compromised

Engineering Contradiction:
Improveregulatory complianceVSAvoiddata processing complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The system extracts and separates sensitive identifying information from the verification process. The privacy module identifies and extracts sensitive data elements (such as full names, addresses, Social Security numbers) and applies encryption or purging operations to these specific extracted elements, maintaining compliance without complicating the overall verification architecture.

Inventive Principle:
Principle #2Taking out (Extraction)

Solution Approach 2:

The privacy protection is applied locally to specific sensitive fields rather than the entire dataset. The system implements differential privacy where high-level encryption and purging are applied only to sensitive information elements while other verification data remains accessible for processing, balancing compliance requirements with operational efficiency.

Inventive Principle:
Principle #3Local quality

3Reliability

If multiple validation modules are implemented, then verification accuracy improves, but system complexity increases

Engineering Contradiction:
Improveverification accuracyVSAvoidsystem architecture complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The verification system is segmented into distinct, independent validation modules: orientation verification module, facial recognition module, and privacy verification module. Each module performs a specific validation function and can operate independently, making the complex verification process manageable through modular architecture while maintaining high overall accuracy through comprehensive multi-module validation.

Inventive Principle:
Principle #1Segmentation

Data Source

PatentUS20250363831A1Identification verification system and related methods
Publication Date: 2025.11.27 CHECKPOINT ID INC
  • US20250363831A1 patent drawing
  • US20250363831A1 patent drawing
  • US20250363831A1 patent drawing

AI summary

An aspect of the present disclosure relates to systems and methods for identification verification. A system may receive a request for identification verification, a first image with a likeness of an individual, and a second image with an identification document of the individual. The system may determine whether the identification document corresponds to a valid form of identification using pattern validation of one or more authenticity elements. The system may also determine whether the likeness of the individual corresponds to an image of the individual in the identification document within a predetermined confidence range. The system may also transmit outputs to the remote platform indicative of whether the identification document represents a valid form of identification and whether the likeness of the individual corresponds with the identification document.