Card Image Alignment via Deviation Correction
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Solution Overview
Problem
Existing image reading apparatuses face difficulties in aligning multiple small-sized document sheets on a contact glass without overlap or inclination, requiring precise user intervention to ensure correct positioning and angle alignment, which is cumbersome and error-prone.
Innovation Solution
The image reading apparatus includes an operation unit, image reading unit, card-image recognition part, circular-area setting part, positional-information setting part, deviational-angle computation part, and array processing part to recognize, correct, and array card images, automatically adjusting for positional and angular deviations to generate aligned image data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a plurality of small-sized document sheets are set on the contact glass, then multiple card images can be read simultaneously, but the document sheets tend to move and misalign due to the smooth surface of the contact glass
Solution Approach 1:
The system performs self-correction by automatically detecting the actual positions and angles of card images through image recognition, then computationally correcting deviations without requiring physical repositioning of the document sheets. The apparatus serves itself by identifying and compensating for alignment errors programmatically.
Solution Approach 2:
The patent replaces the mechanical approach of physically aligning document sheets on the contact glass with a computational image processing approach. Instead of relying on mechanical positioning stability, the system uses digital image correction to achieve proper alignment, substituting physical precision requirements with software-based solutions.
2Manufacturing precision
If the user carefully sets multiple small-sized document sheets on the contact glass to ensure proper alignment, then accurate image data can be obtained, but the operation becomes cumbersome and time-consuming
Solution Approach 1:
The system automatically detects card image positions, angles, and deviations without user intervention. The image recognition and deviation detection functions operate autonomously, eliminating the need for users to manually align documents while maintaining high precision alignment results.
Solution Approach 2:
The system performs preliminary detection and computation of alignment deviations before final image processing. By pre-identifying position and angle deviations through image recognition, the system prepares correction data in advance, enabling automatic alignment correction without requiring users to perform careful manual setting.
3Ease of operation
If document sheets are set on the contact glass without precise alignment, then the setting process is simpler, but the obtained image data contains misaligned card images that require additional processing
Solution Approach 1:
The patent replaces mechanical alignment precision requirements with computational image processing. Users can set document sheets casually without concern for precision, as the system digitally detects and corrects alignment deviations through image recognition and coordinate transformation algorithms.
Solution Approach 2:
The system performs self-correction of misaligned images by automatically detecting deviations and applying computational corrections. The image processing function serves itself by identifying alignment errors and rectifying them through coordinate transformations, eliminating the need for users to achieve precise manual alignment.
4Productivity
If the contact glass has a smooth surface for easy document placement, then documents can be set quickly, but the document sheets easily move and change position
Solution Approach 1:
The patent replaces mechanical position stability with computational position correction. The smooth contact glass surface is retained for quick document placement, while the system compensates for position instability through digital image recognition and coordinate-based deviation correction, eliminating the need for mechanical friction or adhesion to maintain position.
Solution Approach 2:
The system performs self-correction of position deviations by detecting actual card image locations and computing correction transformations. The apparatus autonomously identifies and compensates for position changes without requiring physical constraints on the document sheets, allowing the smooth surface to remain while achieving position stability through software.
Data Source
AI summary
The image reading apparatus includes: an image reading unit which reads card-like document sheets; a card-image recognition part which recognizes card images corresponding to the document sheets; a circular-area setting part which sets circular areas each containing a card image; a positional-information setting part which sets positional information as to the circular areas; a deviational-angle computation part which determines deviational angles of the card images; a corrected-data acquisition part which acquires corrected image data by turning the circular areas; and an array processing part which generates arrayed image data in which the card images corrected in terms of deviational inclination are disposed in array.