Real-time Image Capture Correction for MICR Line Encoding
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Solution Overview
Problem
Current mobile deposit technology struggles to process certain resource distribution instruments, such as certified checks and money grams, due to issues like ink contrast, resulting in blank spaces where resource amounts should be, which cannot be rewritten and are considered mutilation, hindering resource exchange across entities.
Innovation Solution
A system that performs real-time image capture correction by identifying unresolved indicia on resource distribution instruments, queuing them for encoding, and applying a digital or virtual overlay of the data element on the MICR line for internal processing, ensuring the resource amount is visible only internally and not externally, thus preventing mutilation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If bi-tonal transformation is performed on resource distribution instruments with poor ink contrast, then the document can be processed digitally, but the resource amount data becomes blank space and is lost
Solution Approach 1:
The system performs preliminary detection of ink contrast quality before bi-tonal transformation. When poor contrast is detected, the system pre-processes the image to enhance the visibility of resource amount data, ensuring that the data remains detectable after transformation. This preliminary intervention prevents information loss before it occurs.
Solution Approach 2:
The system introduces an intermediary image processing layer that acts as a mediator between the original document and the bi-tonal transformation process. This intermediary layer enhances contrast-specific regions (resource amount fields) while maintaining the overall document structure, allowing the transformation to proceed without complete data loss.
2Productivity
If the resource amount is rewritten on blank space to restore data, then the document can be processed, but the document is considered mutilated and cannot be used for resource exchange
Solution Approach 1:
Instead of rewriting data directly on the original document (which would constitute mutilation), the system creates a digital copy or overlay layer containing the restored resource amount data. This copy is integrated into the processed image, allowing the document to maintain its integrity while restoring processing capability.
Solution Approach 2:
The system resolves the contradiction by moving from a two-dimensional physical document constraint to a multi-layered digital representation. The resource amount data is restored in a separate digital layer that can be overlaid on the original image, effectively adding a dimension to the document structure that allows data recovery without physical alteration.
3Loss of information
If digital encoding overlay is applied to restore resource amount data, then internal processing can access the data, but external entities cannot see the encoded data
Solution Approach 1:
The system applies digital encoding selectively to specific regions of the document (resource amount fields) rather than the entire document. This localized approach restores necessary data visibility while minimizing the complexity of managing encoding layers across the whole document. The encoding is applied only where information loss occurs.
Data Source
AI summary
Embodiments of the invention include systems, methods, and computer-program products for providing an internal digital encoding as an overlay of a data element on a resource distribution instrument for blank space correction. The invention identifies a type of resource distribution instrument with blank space or faded spaces and queue it for encoding. In this way, the encoding may be a layer for a user to view the data element to confirm the resource associated with the resource distribution instrument. The encoding may be embedded into the resource distribution instrument and removable upon external transmission.