Document Feature Matching for Duplicate Process Prevention
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Solution Overview
Problem
Existing information processing systems fail to consider past processes on documents, leading to potential duplicate processing and unintended multiple transmissions of information.
Innovation Solution
An information processing system that includes a processor to acquire document features, past process information, and decide on current processes based on past information, preventing duplicate processing and multiple transmissions by matching flow IDs and considering user settings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If processes are performed on documents without considering past processes, then processing simplicity is maintained, but duplicate processing and multiple transmissions occur
Solution Approach 1:
The system performs preliminary actions by acquiring and storing process information about past documents before processing the target document. The processor acquires feature information of the target document, searches for past documents with matching features, and retrieves their process information in advance, enabling duplicate processing prevention without complicating the actual processing operation.
2Reliability
If past process information is acquired and analyzed, then duplicate processing is prevented, but system complexity increases
Solution Approach 1:
The system uses copying by creating and storing feature information copies of processed documents in a database. Instead of analyzing original documents, the system acquires and stores simplified feature representations (copies) that can be quickly searched and compared, reducing system complexity while maintaining reliable duplicate processing prevention.
3Measurement precision
If feature matching is performed to identify past documents, then accurate duplicate detection is achieved, but processing time increases
Solution Approach 1:
The system extracts only essential feature information from documents for comparison purposes, separating critical identification features from the complete document content. By acquiring and storing only necessary feature elements (such as document type, key metadata, and distinguishing characteristics), the system achieves accurate duplicate detection while minimizing processing time.
Data Source
AI summary
An information processing system includes a processor, and the processor is configured to: acquire a feature of a target document that is a document as a processing target; acquire process information that is information on a process to be performed on the target document; acquire past information that is information on a process performed on a past document that has the feature of the target document and has been processed in the past; and decide a process to be performed on the target document based on the process information and the past information.