Document Capture Preview Feedback for Image Defect Correction
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Solution Overview
Problem
Current document capture technologies using handheld equipment often result in imaging defects such as image skew, out-of-focus, rotation, obstruction, improper illumination, and misalignment, which degrade the quality of captured images and hinder proper document processing.
Innovation Solution
A method and device that preview images of documents, identify defects, and provide visual or audio feedback to adjust camera settings such as tilting, translating, refocusing, rotating, adjusting illumination, or removing obstructions to minimize defects, allowing for improved image capture and processing, including optical character recognition and barcode decoding.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If document capture is performed using handheld equipment, then portability and ease of operation are improved, but image quality deteriorates due to imaging defects such as skew, rotation, out-of-focus, and improper illumination
Solution Approach 1:
The system captures a preview image and analyzes it for defects such as skew, rotation, focus issues, and illumination problems. Based on the analysis results, the system provides feedback to guide the user to adjust the document or camera position, then recaptures the image to verify improvement. This closed-loop feedback process continues until the image quality meets acceptance criteria, thereby resolving the contradiction between portable operation and image quality.
Solution Approach 2:
Before final image capture, the system performs preliminary analysis on a preview image to identify potential quality issues. This preliminary action allows the system to detect defects early and guide corrective adjustments before the actual document capture, preventing poor quality images from being captured in the first place while maintaining portable operation.
2Manufacturing precision
If multiple image adjustments are allowed to correct defects, then image quality is improved, but device complexity increases due to multiple adjustment parameters
Solution Approach 1:
The system automatically analyzes the preview image for defects and generates specific adjustment guidance without requiring the user to manually adjust multiple parameters. The system self-services by identifying the specific defects present (such as skew angle, focus status, illumination adequacy) and providing targeted adjustment instructions, thereby improving image quality while keeping the user interface simple and the effective complexity low.
3Manufacturing precision
If image defects are detected and corrected through multiple adjustments, then image quality is improved, but time consumption increases
Solution Approach 1:
The system uses rapid automated image analysis to quickly identify defects in the preview image and generates immediate adjustment guidance. By skipping manual inspection and automated processing occurring in real-time or near-real-time, the system minimizes the time spent on defect detection and correction while still achieving high image quality through targeted adjustments.
Data Source
AI summary
A system and method for processing an image of a document is disclosed. The method includes receiving at least one predetermined document parameter of the document. An image of the document is previewed on a display using a camera. The display provides a visual indication of a defect in the image based on the preview. A processor proposes a procedure to minimize the defect in the image. A user adjusts the camera in response to the proposal. The processor processes the image of the document.