Automated Cover Page Generation from Source Image Text
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Solution Overview
Problem
Existing image processing apparatuses, such as facsimile machines, require manual input for creating cover pages, which is cumbersome and time-consuming, especially when transmitting documents.
Innovation Solution
An image processing apparatus that includes an image reading device, a communication device, and a control device, which recognizes text regions in a source image, extracts keywords, and automatically generates a cover page by pasting the extracted text onto a predetermined template, associated with the extracted keywords, and transmits the cover page along with the source image to an external terminal device.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If manual input is used for creating cover pages, then the cover page can be created with existing templates, but the process becomes cumbersome and time-consuming
Solution Approach 1:
The system automatically extracts text from the source document and populates the cover page template without requiring manual user input. The controller autonomously performs text recognition, keyword extraction, and template population, allowing the system to serve itself rather than requiring user intervention for each cover page creation task.
Solution Approach 2:
The system performs text extraction and keyword identification in advance during the document reading process, before the cover page creation is actually needed. This preliminary processing of the source document text enables rapid cover page generation by having the information ready beforehand.
2Extent of automation
If automatic text extraction is implemented, then cover page creation is automated, but text recognition accuracy must be maintained
Solution Approach 1:
The system employs optical character recognition (OCR) technology to automatically recognize and extract text from the source document image, converting visual text into machine-readable format with high accuracy. The feedback mechanism ensures that the extracted text accurately reflects the original document content.
Solution Approach 2:
The patent replaces manual mechanical text transcription with automated optical character recognition and image processing systems. The controller uses software-based text extraction methods to substitute the manual copying and pasting process, achieving both automation and maintained accuracy through advanced recognition algorithms.
Data Source
AI summary
An image processing apparatus includes an image reading device, a communication device, and a control device. The control device acts as a controller. The controller recognizes at least one text region in the source image, extracts a predetermined keyword from the at least one text region, generates a cover page by pasting a character string of the text region from which the keyword has been extracted, on a pasting position on a predetermined cover page template, associated with the keyword extracted, and causes the communication device to transmit the generated cover page together with the source image, to the external terminal device.