Automated Check and Stub Separation via MICR Line Detection
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Solution Overview
Problem
Manual separation of checks from payment stubs in conventional systems is time-consuming and costly, especially for institutions processing large volumes of checks, as it accounts for a significant portion of the time and labor required in processing paper checks.
Innovation Solution
A computerized system and method that captures check images by locating the Magnetic Ink Character Recognition (MICR) line and perforation lines to automate the separation of checks from payment stubs, using predefined distances and image recognition tools to determine the orientation and position of these features within the document image.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual separation of checks from payment stubs is performed, then the check can be processed, but the processing time and labor cost increase significantly
Solution Approach 1:
The patent replaces the manual mechanical separation process with an automated image processing system that uses optical recognition and computer algorithms to identify and separate check images from stub images, eliminating the need for manual physical separation while maintaining processing accuracy
Solution Approach 2:
The patent creates digital copies (images) of both the check and stub documents, then performs separation on the digital images rather than physically separating the original documents. This allows multiple copies to be processed simultaneously without affecting the original documents and enables automated recognition and separation
2Measurement precision
If manual separation is used to ensure accurate identification of check boundaries, then processing accuracy is maintained, but the complexity of the operation increases
Solution Approach 1:
The system performs self-service by automatically identifying check boundaries, locating MICR lines, and determining separation points without human intervention. The algorithm independently processes each document image, identifies relevant features, and separates the check from the stub autonomously
Solution Approach 2:
The patent utilizes the distinct visual characteristics and color properties of different document sections (check vs. stub) to automatically identify boundaries. The system recognizes differences in ink colors, paper backgrounds, and printed patterns to distinguish between the check portion and stub portion of the document
3Loss of information
If the entire document image is captured and processed, then complete information is retained, but the data processing volume and storage requirements increase
Solution Approach 1:
The patent extracts only the relevant check image portion from the complete document image by identifying and isolating the check area based on recognized features such as MICR lines, check borders, and separation points. This extraction eliminates unnecessary stub information from further processing while preserving all essential check data
Solution Approach 2:
The patent segments the document image into distinct regions (check area and stub area) based on recognized features and boundaries. By dividing the image into separate segments, the system can process only the relevant check portion independently, reducing the overall data volume required for processing and storage while maintaining complete check information
Data Source
AI summary
Systems, methods, and computer program products are provided for automating the separation of a check and a stub attached to the check in a payment receiving and processing system. For example, one embodiment of the invention involves a computerized apparatus configured to receive a document image, locate a Magnetic Ink Character Recognition (MICR) line in the document image, and capture a check image by capturing a portion of the document image based at least partially on the location of the MICR line.