Image Processing Apparatus Hyperlink Structure Generation
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Solution Overview
Problem
Existing image processing technologies cannot create links to arbitrary terms selected by users beyond those mentioned in a table of contents or index page, limiting user navigation within image data.
Innovation Solution
An image processing apparatus with an image reading unit, character recognition unit, grouping unit, character extraction unit, and link setting unit that recognizes characters, groups them based on format, extracts important character strings, and links similar strings with higher importance for user navigation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If hyperlink structure data is generated based only on table of contents and index page data, then the system complexity is reduced and processing is simplified, but the adaptability and versatility of link creation is limited
Solution Approach 1:
The system performs preliminary character recognition and grouping on all image data during the initial processing stage. By pre-recognizing characters and grouping them into character strings with importance values across all pages, the system enables flexible link creation to any term without requiring manual table of contents construction, thus improving adaptability while managing complexity through automated preprocessing
Solution Approach 2:
The system automatically extracts important character strings and generates hyperlink structures without requiring manual intervention for table of contents creation. The automated character recognition, grouping, and importance assessment enable the system to self-generate navigational links, enhancing versatility while reducing the need for complex manual processing
2Adaptability or versatility
If character recognition and grouping is performed on all image data, then the adaptability of link creation is improved, but the processing time and computational resources increase
Solution Approach 1:
The system extracts only the essential elements needed for hyperlink creation from the image data. By focusing character recognition and grouping specifically on text elements and assigning importance values based on formatting characteristics, the system extracts necessary information without processing irrelevant image content, thus enabling arbitrary term linking while minimizing processing time
Solution Approach 2:
The system applies different processing levels to different regions of the image data. Character recognition and grouping are applied specifically to text-containing regions, and importance assessment is based on local character formatting properties. This localized processing approach enables flexible link creation to arbitrary terms while reducing overall processing time by avoiding uniform processing of entire image pages
Data Source
AI summary
An image processing apparatus includes an image reading unit configured to read information as image data, a character recognition unit configured to recognize individual characters included in the image data, a grouping unit configured to group the individual characters recognized into one or more character string based on character information indicating a format of the character, a character extraction unit configured to extract a character string for which a link is to be created based on an importance of the character string obtained by the grouping, a character search unit configured to search the image data in which the characters have been recognized for the character string having the same character base among the character strings extracted, and a link setting unit configured to link the character strings having the same character base that are retrieved to each other based on the importance.