Automated Image Filing via Sheet Form Detection
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Solution Overview
Problem
Conventional scanners require significant user effort and time to manually input and organize scanned documents, whether by creating separate files for each page or combining multiple pages into one file, due to the lack of automatic filing methods.
Innovation Solution
An image filing method that automatically identifies and groups scan data based on standard sheet forms, such as application or invoice formats, and creates independent files with corresponding names, eliminating the need for manual insertion of markers or barcodes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If conventional scanners create separate files for each scanned page, then file organization is simplified, but user workload increases due to manual checking and renaming requirements
Solution Approach 1:
The scanning system automatically identifies sheet forms in scanned documents, extracts keywords, and generates file names without requiring manual user intervention. The system serves itself by autonomously organizing files based on detected form types and keywords, eliminating the need for users to manually check and rename each file.
Solution Approach 2:
The system changes the parameter of file naming from manual user input to automated keyword extraction and encoding. By transforming the naming process into an automatic parameter generation based on document content analysis, the system resolves the contradiction between ease of operation and time loss.
2Ease of operation
If conventional scanners combine multiple pages into one file, then file creation is simplified, but user workload increases due to manual splitting requirements
Solution Approach 1:
The system automatically identifies sheet forms and divides scanned documents into separate files based on detected form types. Users do not need to manually split files because the system autonomously performs the division by analyzing document content and identifying boundaries between different sheet forms.
Solution Approach 2:
The scanning process is segmented into automatic identification of sheet forms, extraction of keywords, and division into separate files. This segmentation allows the system to handle multiple pages automatically by identifying distinct sheet form boundaries and creating separate files for each, eliminating manual splitting work.
3Extent of automation
If users manually insert blank pages or barcodes to split documents, then automatic filing is enabled, but preparation time increases significantly
Solution Approach 1:
The scanning system performs self-service by automatically identifying sheet forms and extracting keywords directly from the scanned document content. Users do not need to manually insert blank pages or barcodes because the system autonomously detects form types and generates filing information based on the actual document content.
Solution Approach 2:
The system performs preliminary action by pre-processing the scanned images to identify sheet forms and extract keywords before file creation. This preliminary automatic analysis eliminates the need for users to perform preliminary manual preparation such as inserting markers or barcodes, significantly reducing preparation time while enabling automatic filing.
Data Source
AI summary
An image filing method including following steps is provided. At least one sheet is searched form from a plurality of scan image data by an office machine or a computer connected to the scanner. the plurality of scan image data is divided into M groups, and the at least one sheet form is set up in a first image data of each of M groups when there are M sheet forms searched from the plurality of scan image data, wherein M is an integral larger than 1. A keyword string is searched in each of the M sheet forms and an encoded string arranged after the keyword string is identified. M files corresponding to the M groups are created and named according to the encoded strings in each of the M sheet forms.