Mobile Identity Document Image Processing via Segmented Analysis
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Solution Overview
Problem
Mobile devices face challenges in processing images of identity documents due to limited processing power and image resolution, as well as issues with nonlinear sensor arrays and variable illumination conditions, which hinder efficient image capture and processing, limiting their application in broader business workflows beyond financial transactions.
Innovation Solution
A method that involves receiving and classifying images of identity documents using a mobile device, analyzing them to extract identifying information, and integrating this information into business workflows, such as loan applications or financial account workflows, to drive specific processes, independent of universal standards like MICR characters.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional scanner-based image processing algorithms are used on mobile devices, then image processing accuracy may be maintained, but processing time and computational cost become prohibitively high
Solution Approach 1:
The patent segments the image processing task into multiple stages: initial image capture and preprocessing on the mobile device, followed by selective transmission of processed data to a server for more intensive analysis. This division allows the mobile device to handle time-critical operations while the server handles computationally intensive tasks, resolving the contradiction between processing accuracy and time consumption.
Solution Approach 2:
The system performs preliminary image processing operations (such as basic enhancement, noise reduction, and feature detection) on the mobile device before transmission. This preliminary action reduces the amount of data that needs intensive processing and allows critical time-sensitive operations to be completed locally, thereby reducing overall processing time while maintaining accuracy through subsequent server-side processing.
2Ease of operation
If mobile device cameras are used to capture document images, then portability and convenience are improved, but image quality and consistency deteriorate due to nonlinear sensor arrays and variable illumination
Solution Approach 1:
The patent introduces an intermediary processing layer that corrects for camera-specific distortions. This intermediary system applies calibration data and correction algorithms to compensate for nonlinear sensor array effects and illumination variability, thereby maintaining image quality consistency across different mobile devices and capture conditions while preserving the ease of operation provided by mobile cameras.
Solution Approach 2:
The system dynamically adjusts processing parameters based on detected image conditions, including illumination levels, camera characteristics, and document type. By changing parameters such as exposure compensation, white balance, and geometric correction factors in real-time, the system maintains consistent image quality across varying capture conditions while preserving mobile device portability and convenience.
3Adaptability or versatility
If mobile devices are used for document capture and processing, then accessibility and workflow integration are improved, but processing power and memory limitations hinder complex image processing
Solution Approach 1:
The patent creates a universal processing framework that can operate in multiple modes depending on device capabilities and task requirements. The system can perform basic processing locally on resource-constrained mobile devices while automatically routing more demanding tasks to server infrastructure, thereby providing universal access to document processing capabilities without requiring high processing power or memory on every device.
Solution Approach 2:
The system introduces an intermediary server layer that acts as a bridge between mobile devices and complex processing operations. This intermediary receives requests from mobile devices, performs computationally intensive processing on the server, and returns results to the mobile device, thereby enabling sophisticated image processing capabilities while respecting the processing power and memory limitations of mobile devices.
Data Source
AI summary
A method includes: receiving or capturing an image comprising an identity document (ID) using a mobile device; classifying the ID; analyzing the ID based at least in part on the ID classification; determining at least some identifying information from the ID; at least one of building an ID profile and updating the ID profile, based at least in part on the analysis; providing at least one of the ID and the ID classification to a loan application workflow and/or a new financial account workflow; and driving at least a portion of the workflow based at least in part on the ID and the ID classification. Corresponding systems and computer program products are also disclosed.