Document Processing Method for Serial Number Error Detection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing document processing systems require manual intervention to correct disturbed serial numbers, which is inefficient and increases user workload, especially in documents like contracts where accuracy and order are crucial.
Innovation Solution
A document processing method that automatically divides document information into units, extracts order letters, confirms if they are in ascending order and serially numbered, and outputs alerts with correction candidates to ensure accuracy, thereby reducing user effort in maintaining order.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual intervention is used to correct disturbed serial numbers, then accuracy can be maintained, but user workload increases and efficiency decreases
Solution Approach 1:
The system automatically detects disturbed serial numbers and generates correction candidates without requiring manual intervention. The information processing device performs self-service by autonomously analyzing the document, identifying serial number errors, and proposing corrections, thereby reducing user workload while maintaining accuracy through automated validation.
Solution Approach 2:
The system provides feedback to users by displaying alert information and correction candidates when serial numbers are detected as disturbed. This feedback mechanism allows users to review and confirm automated corrections, ensuring accuracy while minimizing manual effort compared to complete manual correction.
2Productivity
If automated detection of serial number errors is implemented, then efficiency increases, but system complexity increases
Solution Approach 1:
The system segments the document processing task into distinct modules: a serial number detection module that identifies serial numbers in the document, an analysis module that detects disturbances in the sequence, and a correction generation module that creates correction candidates. This segmentation improves efficiency by automating the process while managing complexity through modular design.
Solution Approach 2:
The system introduces an intermediary alert information that bridges the gap between automated detection and user confirmation. The alert information serves as a mediator that presents detected errors and correction candidates to users, allowing automated processing to proceed while maintaining user oversight, thus balancing efficiency gains with acceptable system complexity.
3Reliability
If comprehensive serial number validation is performed, then accuracy improves, but processing time increases
Solution Approach 1:
The system performs partial validation by focusing specifically on detecting disturbed serial numbers rather than comprehensive document review. It applies excessive action by generating multiple correction candidates beyond what a single correct answer would require, allowing users to select from pre-analyzed options. This approach improves accuracy through thorough validation of serial number sequences while reducing processing time compared to complete manual verification.
Data Source
AI summary
A document processing method is provided for causing a processor to execute a process. The document processing method includes: confirming whether the extracted order letters are in an ascending order and serially numbered according to a predetermined rule in the document information, the order letters being extracted form units information and defining an order of the units information in the document information, the units information being generated by diving the document information by a predetermined unit; and outputting alert information including a correction candidate which shows the order letters being in the ascending order and serially numbered.