Image Scanner Manuscript Segmentation via Header Marks
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Solution Overview
Problem
Existing image reading technologies fail to efficiently differentiate and manage multiple manuscripts with varying content types, often treating them as a single file, which complicates file organization and management.
Innovation Solution
An image reading method that identifies and separates manuscripts using header sheets to determine content type and settings, allowing for sequential reading and storage of each manuscript as individual files based on predetermined marks, enabling efficient file management and transmission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If image data of plural manuscripts are transmitted as one file, then transmission efficiency is improved, but file organization and management become complicated
Solution Approach 1:
The patent segments the manuscript group into individual manuscript files based on detected marks. The file generation unit divides the read image data into separate files for each manuscript, allowing efficient transmission while maintaining organized file structures that are easy to manage and retrieve.
2Ease of operation
If each single page of plural manuscripts is set as one file, then file management is simplified, but transmission efficiency decreases
Solution Approach 1:
The patent segments manuscripts at the logical level (by manuscript boundaries identified through marks) rather than at the physical page level. This allows multiple pages belonging to the same manuscript to be grouped into one file, achieving both efficient transmission and manageable file structures.
Solution Approach 2:
The patent introduces marks as intermediary elements that indicate manuscript boundaries. These marks serve as mediators between the physical manuscript pages and the digital file structure, enabling automatic identification of where one manuscript ends and another begins, thus facilitating efficient file grouping.
3Manufacturing precision
If manual file division is performed, then file organization accuracy is improved, but processing time increases
Solution Approach 1:
The patent implements self-service automation where the system automatically detects marks in the read image data and generates divided files without manual intervention. The automatic file generation unit processes the manuscript group autonomously, maintaining high organization accuracy while eliminating time-consuming manual operations.
Solution Approach 2:
The patent replaces the mechanical/manual process of file division with an automated image processing system. The system uses optical character recognition and pattern matching to detect marks and automatically generate files, substituting human manual work with computational processes that are both accurate and efficient.
Data Source
AI summary
A method is provided for reading sequentially a manuscript group made of plural sheets and dividing the manuscript group into manuscript data. The manuscript group made of the plural sheets is read sequentially to produce reading data. Each reading data of the sheet produced at the reading step is analyzed and judged on whether or not the sheet is added with a predetermined mark. The manuscript group data is divided by the reading data of the sheet added with the predetermined mark into plural manuscript data in a case where the sheet is judged as being added with the predetermined mark at the judging step. Thereafter, each of the manuscript data including the reading data of the sheet added with the predetermined mark in a storing region is collectively stored.