Image Processing Apparatus for Automatic Separator Configuration

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Solution Overview

Problem

Existing methods for automatically generating file names from scanned images often result in unnecessary separators, requiring users to manually edit the names each time, and lack the ability to add separators at arbitrary positions, making the process inefficient.

Innovation Solution

An image processing system that detects character areas in scanned documents, allows users to set properties such as separator presence/absence, and automatically generates file names based on past configuration information, enabling seamless handling of similar document types.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If separators are automatically inserted between all character areas, then file names become easy to understand, but unnecessary separators are included making manual editing required

Engineering Contradiction:
Improveease of understanding file nameVSAvoidtime for manual separator deletion
Core Design Contradiction:
Ease of operationVSLoss of time

Solution Approach 1:

The system performs self-learning by automatically analyzing user editing operations on file names. When users delete separators or modify file names, the system learns from these actions and automatically adjusts future separator insertion behavior, enabling the system to serve itself without requiring manual configuration or repeated user intervention.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The system implements a feedback mechanism where user modifications to automatically generated file names are captured and fed back into the system. This feedback loop allows the system to continuously improve its separator insertion logic by learning from actual user behavior patterns, thereby reducing unnecessary separators in future file name generations.

Inventive Principle:
Principle #23Feedback

2Reliability

If file names are generated using date and user name, then duplication is prevented, but contents of the document are not reflected

Engineering Contradiction:
Improveuniqueness of file nameVSAvoidinformation about document content
Core Design Contradiction:
ReliabilityVSLoss of information

Solution Approach 1:

The system merges multiple information sources including date, user name, and character recognition results from the document content. By combining these elements, the system generates file names that are both unique (preventing duplication) and informative (reflecting document content), thereby resolving the contradiction between uniqueness and information retention.

Inventive Principle:
Principle #5Merging (Combining)

3Stability of the object's composition

If separators are always included in automatically generated file names, then consistency is maintained, but user flexibility to add/delete separators is restricted

Engineering Contradiction:
Improveconsistency of file name formatVSAvoiduser flexibility in separator usage
Core Design Contradiction:
Stability of the object's compositionVSAdaptability or versatility

Solution Approach 1:

The system transitions from a static, fixed separator insertion rule to a dynamic, adaptive approach. By continuously learning from user behavior patterns, the system dynamically adjusts its separator insertion strategy based on the specific document type and user preferences, maintaining consistency within each context while providing flexibility across different scenarios.

Inventive Principle:
Principle #15Dynamics

Data Source

PatentUS11575799B2Image processing apparatus for setting property including character strings and separators to scanned image, control method thereof and storage medium
Publication Date: 2023.02.07 CANON KK
  • US11575799B2 patent drawing
  • US11575799B2 patent drawing
  • US11575799B2 patent drawing

AI summary

In a case where a user adds or deletes a separator to or from an automatically generated file name or the like, it is made possible to automatically generate a file reflecting the presence/absence of a separator at the time of transforming a scanned image of a document of the same kind into a file from next time. In a case where a document similar to a document scanned in the past is scanned, based on results of learning including the presence/absence of a separator, a property for a document scanned this time is generated automatically and presented.