Document Management System Using Composite Image Segmentation
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Solution Overview
Problem
Existing document management systems require manual and labor-intensive processes for reading and associating multiple receipts with their respective information, such as expense item details, which is inefficient and prone to errors.
Innovation Solution
A document management system that includes an image reading unit, an image data dividing unit, and an information acquisition unit, which collectively reads and processes multiple receipts using a clear file or mounting paper with embedded QR codes, allowing for simultaneous data acquisition and association with expense item information, reducing operator burden and improving precision.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual processes are used for reading and associating multiple receipts with their respective information, then individual document handling can be performed, but operator workload increases and processing efficiency decreases
Solution Approach 1:
The patent combines multiple receipts into a single composite image through overlay scanning, allowing the system to process multiple documents simultaneously rather than individually. This merging approach enables batch processing of receipt data, significantly improving productivity while reducing operator burden by eliminating the need to manually handle each receipt separately.
Solution Approach 2:
The system creates digital copies of physical receipts through image scanning and uses these copies for automated processing. By working with digital representations rather than physical documents, the system can automatically divide, recognize, and associate receipt information without manual intervention, thereby increasing processing efficiency and reducing operator workload.
2Productivity
If individual scanning of multiple receipts is performed, then each document can be processed separately, but data registration time increases
Solution Approach 1:
The system performs preliminary actions by pre-dividing the composite image into individual receipt images before recognition processing. This preliminary segmentation allows the recognition unit to process multiple receipts in parallel rather than sequentially, significantly reducing the total processing time while maintaining accurate data registration for each individual receipt.
3Productivity
If automated processing is implemented for multiple receipts, then processing speed increases, but system complexity increases
Solution Approach 1:
The patent segments the automated processing system into distinct functional units: an image dividing unit that separates composite images into individual receipts, and a recognition unit that processes each receipt. This segmentation allows the system to achieve high processing speeds through automated batch processing while managing complexity by organizing functions into modular, specialized components that can operate independently.
Data Source
AI summary
A document management system includes an image reading unit, an image data dividing unit, an information acquisition unit, and a process unit. The image reading unit reads images of a plurality of documents and generates read image data of the plurality of documents. The image data dividing unit divides the read image data, and generates image data for respective documents included in the plurality of documents. The information acquisition unit acquires information relating to the plurality of documents. The process unit associates the information acquired by the information acquisition unit with the respective image data for the respective documents.