Image Processing Apparatus Automatic File Naming via Document Type Detection
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Solution Overview
Problem
Existing image processing systems impose a heavy load on users when naming digitized documents, as they require manual input of file names using a software keyboard, especially when dealing with multiple types of documents, and existing solutions require pre-registration of naming rules that are fixed during scanning, making it difficult to distinguish between identical features.
Innovation Solution
An image processing apparatus that automatically specifies the type of original document using image data and displays candidate character strings for file naming, allowing users to select and set a file name based on the specified type, reducing the need for manual input and enabling easy file naming.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the user inputs file names manually using a keyboard, then the file naming flexibility is maintained, but the user workload increases significantly
Solution Approach 1:
The system performs automatic file naming by extracting features from the scanned original image and matching them with pre-registered specifying rules, eliminating the need for manual user input. The system serves itself by autonomously determining file names based on image analysis results.
Solution Approach 2:
The patent introduces an intermediary component (the automatic naming system with specifying rules) that bridges the gap between manual input flexibility and automated efficiency. The intermediary analyzes image features and applies naming rules to generate appropriate file names without direct user intervention.
2Extent of automation
If naming rules are pre-registered and fixed, then the naming process is automated, but the system cannot adapt to new document types without re-registration
Solution Approach 1:
The patent makes the naming system dynamic by allowing the specifying rules to be updated and modified. When a new document type is encountered, the system can learn from it and update the specifying rules accordingly, transitioning from a static to a dynamic rule set that adapts to new requirements.
Solution Approach 2:
The system performs preliminary registration of specifying rules and naming patterns for common document types. This preliminary setup enables automatic naming for standard documents while maintaining the capability to learn and adapt to new document types through subsequent updates.
3Ease of operation
If all possible fixed character strings are displayed on the UI, then users can find desired file names, but the UI becomes overwhelming and search becomes difficult
Solution Approach 1:
The patent extracts and displays only the relevant fixed character strings that match the detected document type, rather than showing all possible character strings. This extraction approach filters out unnecessary options and presents only the applicable naming choices to the user.
Solution Approach 2:
The system applies local quality by customizing the UI display based on the specific document type detected. Different document types receive different sets of relevant character strings, making the UI adapted to each local context rather than presenting a uniform, overwhelming list to all users.
4Productivity
If the system automatically specifies document type, then naming efficiency improves, but precision in distinguishing identical features decreases
Solution Approach 1:
The patent incorporates feedback mechanisms where the system presents the automatically determined file name to the user for confirmation or correction. This feedback loop allows the system to learn from user corrections and improve its identification accuracy over time while maintaining high automation efficiency.
Solution Approach 2:
The system performs partial automation by automatically determining the document type and suggesting file names, but leaves the final confirmation to the user. This partial action approach maintains efficiency while allowing user intervention to ensure precision when needed.
Data Source
AI summary
An image processing apparatus obtains image data obtained by reading an original, specifies a type of the original using obtained image data, and displays, on a display unit, character strings used for a name of a file of the obtained image data, as selectable candidates of character strings. When a user selects a character string of the candidates of character strings among the candidates of character strings, the image processing apparatus sets the selected character string as a character string used for the name of the file of the image data. The candidates of the character strings displayed on the display unit are selected in accordance with the specified type of the original.