Document Splitting Error Estimation via Page Count Comparison
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Solution Overview
Problem
Existing technologies fail to accurately split electronic files generated by consecutively reading multiple documents into units of documents, often due to incorrect identification or analysis errors, leading to unintended split results.
Innovation Solution
An information processing system that acquires attribute and split information, estimates errors based on page differences, and provides error resolution information to correct split positions, ensuring accurate document splitting by comparing actual and read page numbers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automatic document splitting is performed based on analysis of electronic files, then productivity is improved, but manufacturing precision deteriorates due to incorrect insertion of identification sheets or analysis errors
Solution Approach 1:
The system performs error estimation by comparing the total number of pages in each original document with the number of read pages in each split document. This feedback mechanism identifies discrepancies caused by incorrect identification sheet insertion or analysis errors, allowing the system to detect and correct splitting mistakes while maintaining automated processing
Solution Approach 2:
The system performs preliminary error estimation before finalizing the split results. By comparing page numbers and estimating potential errors in advance, the system can identify problematic splits and adjust the splitting process to achieve the intended result before completion
2Manufacturing precision
If error estimation is performed for each split document, then manufacturing precision is improved, but device complexity increases
Solution Approach 1:
The error estimation process is segmented and applied individually to each split document. By evaluating each document separately using page number comparison, the system achieves precise error detection without requiring complex global analysis, thus improving accuracy while limiting complexity growth
Data Source
AI summary
An information processing system includes one or more processors configured to: acquire attribute information indicating an attribute of a document containing one or more pages and split information indicating a result of splitting in units of documents after multiple documents are read consecutively; and estimate an error for each split document on a basis of a difference between a total number of pages in each document obtained from the attribute information and a number of read pages in each split document obtained from the split information.