Triage Engine for Document Authentication via Risk Visualization
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Solution Overview
Problem
Conventional methods for remote user identification and verification are inefficient and inconvenient, requiring physical identification documents and manual comparison, which is burdensome and lacks accuracy.
Innovation Solution
A computerized method that receives an image of an identification document, determines a risk value based on various factors, and displays a visual indication of the risk category to facilitate efficient and accurate user authentication, using a system with processors, memory, and programs to analyze and validate the image and text within the document.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional manual identification methods are used, then users can present physical identification documents for inspection, but the process is inefficient, inconvenient, and burdensome
Solution Approach 1:
The patent replaces manual mechanical inspection of physical documents with automated optical character recognition (OCR) and image processing systems. The validation device captures images of identification documents and automatically extracts, validates, and compares information without requiring manual handling or physical presence of the document.
Solution Approach 2:
The system creates digital copies of the identification document through image capture and uses these copies for validation. The captured image is processed to extract relevant information fields, allowing the system to work with replicated digital representations rather than requiring the original physical document.
2Measurement precision
If manual comparison of facial images is performed, then verification can be conducted, but accuracy is limited and the process is time-consuming
Solution Approach 1:
The patent replaces manual facial image comparison with automated image processing and pattern recognition algorithms. The system extracts facial features from captured images and performs automated matching against stored reference data, eliminating human subjectivity and significantly improving both accuracy and speed.
Solution Approach 2:
The validation device performs self-validation by automatically comparing extracted information against predetermined criteria and databases without requiring manual intervention. The system independently determines whether the identification document is valid or fraudulent based on automated analysis.
3Productivity
If automated image processing is implemented, then authentication efficiency is improved, but system complexity increases
Solution Approach 1:
The patent divides the complex validation process into distinct functional modules: image capture, information extraction through OCR, facial feature detection, data validation against criteria, and result generation. Each module handles a specific aspect of the validation process, making the overall system more manageable and maintainable despite its automated capabilities.
Data Source
AI summary
Computer systems and methods are provided for receiving a first authentication request that includes an image of an identification document. A risk value is determined using one or more information factors that correspond to the authentication request. A validation user interface that includes the image of the identification document is displayed. A risk category that corresponds to the risk value is determined using at least a first risk threshold. In accordance with a determination that the risk value corresponds to a first risk category, a visual indication that corresponds to the first risk category is displayed. In accordance with a determination that the risk value corresponds to a second risk category, a visual indication that corresponds to the second risk category is displayed.