Currency Bill Serial Number Extraction via Snippet Image Storage
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Solution Overview
Problem
Existing document processing systems for financial documents face challenges in accurately extracting serial numbers and secondary identifiers from currency bills, often failing to do so with confidence, leading to incomplete data in electronic records.
Innovation Solution
A method involving a document processing system that images currency bills serially, attempts to extract serial numbers and secondary identifiers, and populates electronic records with snippet images when complete extraction is not achieved with predetermined confidence, ensuring data integrity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If complete extraction of serial numbers and secondary identifiers is attempted, then data accuracy is improved, but processing reliability deteriorates when extraction confidence is insufficient
Solution Approach 1:
The system performs partial extraction by capturing snippet images of serial numbers and secondary identifiers when complete extraction cannot be achieved with sufficient confidence. This allows the system to retain some useful data (partial action) rather than discarding the entire field, thereby maintaining processing reliability while acknowledging extraction limitations.
Solution Approach 2:
Snippet images serve as an intermediary representation between complete extraction failure and total data loss. Instead of leaving extraction fields empty or marking them as completely failed, the system stores snippet images that contain partial visual information, providing a middle-ground solution that preserves some evidentiary value.
2Reliability
If snippet images are populated in extraction fields, then data integrity is maintained, but data completeness deteriorates
Solution Approach 1:
The system creates copy representations (snippet images) of the original serial numbers and secondary identifiers when complete extraction is not possible. These snippet images are stored in the extraction fields as alternative data forms, maintaining data integrity by preserving visual evidence even though the complete textual information is lost.
3Measurement precision
If strict extraction confidence requirements are enforced, then measurement precision is improved, but productivity deteriorates due to increased failed extractions
Solution Approach 1:
By accepting partial extraction results (snippet images) alongside complete extractions, the system reduces the number of processing failures. This allows stricter confidence requirements to be maintained for complete extractions while still achieving acceptable productivity through partial results, rather than requiring re-processing or manual intervention.
Data Source
AI summary
Currency bills are transported past an image scanner to one or more output receptacles. Each of the bills is imaged to produce image data from which a visually readable image of each bill can be reproduced. The serial number, denomination, and/or secondary identifiers of a bill is attempted to be extracted and/or determined from the image data associated with the bill. The serial number of the bill has an integer number, X, of characters. One or more of the X characters of the serial number of the currency bill is not extracted with a predetermined confidence. In response to failing to extract all of the X characters of the serial number of the bill with the predetermined confidence, a serial number field in an electronic record associated with the bill is populated with a serial number snippet image. The electronic record is stored in a non-transitory memory.