On-Device MICR Recognition for Check Image Orientation Correction
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing technologies face challenges in accurately capturing and processing check images, particularly in determining the orientation and presence of MICR lines, leading to inefficiencies and image rejections during remote deposit capture.
Innovation Solution
The system uses on-device software to provide immediate feedback on image quality, automatically corrects orientation, and scales images by recognizing MICR characters, allowing for efficient validation and correction of check images without intermediate server communication, tailored to work on devices with limited CPU power and memory.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If on-device software is used to analyze and correct check images, then image processing speed and user feedback immediacy are improved, but device CPU power and memory requirements increase
Solution Approach 1:
The image processing functionality is segmented between the mobile device and server. The device performs initial capture, orientation detection, and basic validation, while more complex processing occurs on the server. This segmentation allows fast local response without overburdening device resources.
Solution Approach 2:
The system performs preliminary image validation and orientation correction on the device before transmission to the server. This preliminary action filters out obviously defective images early, reducing unnecessary server processing and improving overall system efficiency.
2Measurement precision
If comprehensive image validation is performed on the device, then image quality and orientation accuracy are improved, but device memory consumption increases
Solution Approach 1:
The validation process focuses on specific critical regions of the check image, such as the MICR line area and corner regions for orientation detection. By concentrating analysis on these local areas rather than the entire image, the system achieves high orientation accuracy with reduced memory consumption.
3Ease of operation
If automatic orientation correction is implemented, then user convenience and processing efficiency are improved, but device complexity increases
Solution Approach 1:
The system implements automatic self-correction of image orientation by detecting MICR line orientation and automatically rotating the image to the correct orientation. This self-service approach eliminates the need for manual user intervention, improving convenience while the automated algorithms manage the complexity.
Data Source
AI summary
The present invention relates to methods and systems for automated processing of document images using mobile and desktop communications devices. Systems and methods are provided for expediting analysis of the accuracy and quality of captured images by such devices before transmission to a server for processing. The processes use on-device software to provide immediate feedback to the user as to whether the quality of the document photograph is sufficient for processing, without the need for intermediate communication with a server. The processes utilize component labeling, MICR character recognition methods, automatic image rotation, and weighted image scaling. The invention increases speed of processing, reduces rates of rejection, increases processor efficiency, limits memory use, identifies images with likely errors, and provides the opportunity for correction of errors at the earliest possible time.