Mobile Document Imaging Enrollment System

Resolve Bottlenecks,
Find Innovative Solutions
Generate Solutions

Solution Overview

Problem

Current technologies lack a means for automatic enrollment and identity verification through mobile imaging, making the enrollment process cumbersome and inefficient.

Innovation Solution

Systems and methods for automatic enrollment and identity verification by processing a captured image of a document, extracting relevant identifying data, and using it to populate enrollment form fields, with internal and external validation checks.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If manual data entry is used for enrollment, then data accuracy can be controlled, but the enrollment process becomes cumbersome and time-consuming

Engineering Contradiction:
Improveenrollment speedVSAvoiddata extraction and validation system
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The patent replaces manual mechanical data entry with automated optical recognition systems. Mobile imaging devices capture documents, and image processing algorithms automatically extract data fields, substituting the mechanical act of typing with automated digital processing to achieve both speed and accuracy

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

Solution Approach 2:

The system enables self-service enrollment by automatically extracting and validating data without requiring user intervention in the data entry process. The automated system performs data extraction, validation, and form population independently, allowing users to simply provide their documents

Inventive Principle:
Principle #25Self-service

2Loss of time

If automatic data extraction is implemented, then enrollment time is reduced, but data validation and accuracy checks become more complex

Engineering Contradiction:
Improveenrollment timeVSAvoiddata validation accuracy
Core Design Contradiction:
Loss of timeVSReliability

Solution Approach 1:

The patent implements feedback mechanisms where extracted data is validated against multiple criteria, and the system provides feedback on data quality and completeness. Validation rules check for consistency, format correctness, and logical relationships, allowing the system to self-correct and ensure reliability

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The system performs preliminary validation checks during the data extraction phase before final enrollment processing. By validating data structure, format, and consistency early in the process, the system prevents errors from propagating through subsequent enrollment steps

Inventive Principle:
Principle #10Preliminary action

3Ease of operation

If mobile imaging is used for document capture, then convenience and accessibility improve, but image processing complexity increases

Engineering Contradiction:
Improvedocument capture convenienceVSAvoidimage processing system
Core Design Contradiction:
Ease of operationVSDevice complexity

Solution Approach 1:

The patent segments the image processing task into distinct modules: image capture, preprocessing, data extraction, validation, and form population. Each module handles a specific aspect of processing, making the overall complex system manageable and maintainable while preserving the convenience of mobile imaging

Inventive Principle:
Principle #1Segmentation

Data Source

PatentUS12293349B2Systems and methods for enrollment and identity management using mobile imaging
Publication Date: 2025.05.06 MITEK SYSTEMS INC
  • US12293349B2 patent drawing
  • US12293349B2 patent drawing
  • US12293349B2 patent drawing

AI summary

Systems and methods for automatic enrollment and identity verification based upon processing a captured image of a document are disclosed herein. Various embodiments enable, for example, a user to enroll in a particular service by taking a photograph of a particular document (e.g., his driver license) with a mobile device. One or more algorithms can then extract relevant data from the captured image. The extracted data (e.g., the person's name, gender, date of birth, height, weight, etc.) can then be used to automatically populate various fields of an enrollment application, thereby reducing the amount of information that the user has to manually input into his mobile device in order to complete the enrollment process. In some embodiments, a set of internal and/or external checks can be run against the data to ensure that the data is valid, has been read correctly, and is consistent with other data.