Document Image Correction for Bundle Alignment
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Solution Overview
Problem
Existing image reading systems face challenges in aligning and displaying images of cut documents, which can vary in size and orientation, leading to inconsistencies when displayed on monitors.
Innovation Solution
An image reading system that includes a transport unit, a reading unit, and a reading control unit capable of performing inclination correction, size determination, and size correction processes, ensuring that images from a bundle of cut documents are standardized to a specific size, using an external control unit and a cutting device for precise alignment and size adjustment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If multiple cut documents are read and displayed, then the quantity of processed documents increases, but size and position variations cause misalignment and display inconsistencies
Solution Approach 1:
The system performs preliminary inclination correction and size correction on each document image before display. The inclination correction process adjusts tilted images to proper orientation, and the size correction process standardizes varying document sizes to a uniform display size, preventing misalignment issues before they affect the final display
Solution Approach 2:
The system changes the parameters of each document image (inclination angle, size dimensions) to standardized values. By adjusting inclination to zero and size to a predetermined standard, the system ensures consistent display across multiple documents regardless of their original variations
2Ease of manufacture
If inclination correction is performed based on right angle sides, then the correction process is simplified, but documents with non-rectangular cut sides cannot be properly corrected
Solution Approach 1:
The inclination correction process is designed to handle multiple document types universally. Instead of relying on specific geometric features like right angles, the system uses a general-purpose correction algorithm that can process any document shape, making the correction process adaptable to both rectangular and non-rectangular cut documents
3Productivity
If documents are cut in a bundle, then processing efficiency increases, but cutting position variations cause size discrepancies among documents
Solution Approach 1:
The system performs self-correction by automatically detecting the actual size of each document image and applying individualized size corrections. Each document's size parameters are measured and adjusted independently to match the predetermined standard size, compensating for variations introduced during bundled cutting
Data Source
AI summary
An image reading system includes an image reading apparatus including a transport unit configured to transport a document from a bundle of cut documents one by one, a reading unit configured to read an image of the transported document, and a reading control unit, and an external control unit included in an external device coupled to the image reading apparatus, wherein an inclination correction process that corrects an inclination of the image of the document, a size determination process that determines a size of the image as a standard for the bundle of documents, and a size correction process that corrects the size of the image of the document to a specific size determined by the size determination process are performed.