Automated Attribute Assignment for Image Data via Character Recognition
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing electronic document filing systems require users to manually define attributes for image data before processing, which is cumbersome and inefficient, especially when dealing with documents of varying formats.
Innovation Solution
An information processing apparatus with a processing unit for character recognition, an extraction unit for identifying designated areas, a memory unit for storing attributes, and an assignment unit that automatically determines and assigns attributes to image data based on recognized character strings, eliminating the need for pre-defined attributes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If users manually define attributes for image data before processing, then attribute assignment accuracy can be ensured, but user burden and processing time increase significantly
Solution Approach 1:
The system performs character recognition and attribute determination in advance during the document processing stage, so that when the attribute assignment is needed, the work is already completed. This eliminates the need for users to manually define attributes and removes the time burden while maintaining accuracy through automated preliminary processing
Solution Approach 2:
The system automatically determines attributes by analyzing character strings recognized from the image data itself, without requiring external user input or manual definition. The document processing system serves itself by extracting and determining attributes autonomously based on the content it processes, thereby eliminating user burden while maintaining assignment accuracy
2Adaptability or versatility
If users pre-define attributes for all possible document types, then attribute assignment can be performed systematically, but system complexity and setup effort increase
Solution Approach 1:
Instead of using fixed pre-defined attributes for all document types, the system dynamically determines attributes by analyzing the actual character strings and content of each document. The attribute determination adapts to different document types by changing parameters based on the recognized text, eliminating the need for complex pre-configuration while maintaining systematic processing
Solution Approach 2:
The system uses a universal attribute determination mechanism that can handle multiple document types without requiring separate pre-defined attribute sets for each type. By analyzing character strings and determining attributes based on content rather than document type classification, the system achieves multi-functionality with reduced complexity
3Measurement precision
If manual attribute definition is required for each document, then attribute accuracy can be maintained, but productivity decreases
Solution Approach 1:
The system automatically extracts character strings from image data and determines attributes without human intervention. This self-service approach maintains attribute accuracy through automated analysis while dramatically improving productivity by eliminating the need for users to manually define attributes for each document
Solution Approach 2:
The manual mechanical process of users defining attributes is replaced with an automated information processing system that uses character recognition and algorithmic attribute determination. This substitution maintains accuracy through systematic automated analysis while improving productivity by removing the time-consuming manual operation
Data Source
AI summary
An information processing apparatus includes a processing unit, an extraction unit, a memory unit, a determination unit, and an assignment unit. The processing unit executes a character recognition process. The extraction unit extracts at least one area located within a predetermined range from a first area that is included in a designated image and that is designated to undergo the character recognition process. The at least one area is a second area. The memory unit stores an attribute on a per character string basis. The determination unit determines, on a basis of the attribute stored by the memory unit, an attribute corresponding to a character string recognized as one or more characters from the first area by the processing unit and a character string recognized as one or more characters from the second area by the processing unit. The assignment unit assigns the determined attribute to the designated image.