Mobile Check Image Processing System for Endorsement Validation
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Solution Overview
Problem
Current mobile banking applications face challenges in accurately processing financial documents captured by mobile devices, as users often upload incomplete or improperly endorsed checks, leading to transaction errors and inefficiencies.
Innovation Solution
A mobile check image processing system that identifies regions of interest on a check image, such as the endorsement area, to determine if it is properly endorsed, and provides real-time notifications to users to correct any issues, ensuring the check is ready for processing by performing content detection tests and sending feedback to users and banks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If users upload check images using mobile devices, then mobile banking accessibility is improved, but transaction error rate increases due to incomplete or improperly endorsed checks
Solution Approach 1:
The system performs preliminary validation of the check image before processing by detecting whether the endorsement area contains a signature. This advance checking prevents incomplete or improperly endorsed checks from being submitted for processing, thereby reducing transaction errors while maintaining mobile banking accessibility.
Solution Approach 2:
The system provides feedback to users about the status of their check images by determining whether the endorsement area contains a signature and communicating this information back to the user. This feedback mechanism allows users to correct their submissions before processing, improving both accessibility and transaction accuracy.
2Reliability
If the system validates check content in real-time, then transaction accuracy is improved, but processing time increases
Solution Approach 1:
The system extracts and validates only the critical endorsement area of the check image separately from the rest of the check. By isolating this specific region for validation, the system can quickly determine whether the check is properly endorsed without processing the entire document, thereby improving accuracy while minimizing time loss.
3Measurement precision
If the system detects content in specific regions of the check, then processing accuracy is improved, but system complexity increases
Solution Approach 1:
The system segments the check image into distinct regions of interest, specifically identifying the endorsement area as a separate zone for validation. This segmentation allows the system to apply specialized detection algorithms only to the relevant areas rather than the entire check, improving measurement precision while keeping system complexity manageable through focused processing.
Data Source
AI summary
Techniques for processing images of documents captured using a mobile device are provided. The images can include different sides of a document from a mobile device for an authenticated transaction. In an example implementation, a method incudes inspecting the images to detect a feature associated with a first side of the document. In response to determining an image is the first side of the document, a type of content is selected to be analyze on the image of the first side and one or more of regions of interests (ROIs) are identified on the image of the first side that are known to include the selected type of content. A process can include receiving a sub-image of the image of the first side from the preprocessing unit, and performing content detection test on the sub-image.