Imaging Device Document Type Identification
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Solution Overview
Problem
Current imaging devices require users to manually set scanning parameters, which often results in suboptimal settings due to user unfamiliarity with resolution, color mode, and document type, leading to inefficient scanning.
Innovation Solution
An imaging device automatically identifies document characteristics, such as text vs. photograph and black and white vs. color, by analyzing luminance and chrominance values, and adjusts settings accordingly using calculations like percentage of pixels within specific ranges and standard deviations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If users manually specify scanning settings, then users can control scanning parameters, but users may choose incorrect settings due to lack of understanding
Solution Approach 1:
The imaging device automatically performs document type identification and setting optimization without requiring user expertise. The system scans the document, analyzes characteristics through luminance/chrominance calculations, and self-determines optimal settings, allowing users to benefit from expert-level analysis without needing to understand the technical parameters.
Solution Approach 2:
The system dynamically changes scanning parameters (resolution, color mode, filtering) based on automatically identified document characteristics. By calculating luminance and chrominance values and comparing them against criteria, the system adapts settings to match the actual document type, ensuring optimal scanning quality for each specific document.
2Reliability
If imaging device automatically identifies document type, then setting accuracy improves, but device complexity increases
Solution Approach 1:
The patent replaces complex manual mechanical adjustment systems with automated optical and computational analysis. Instead of requiring users to manually adjust multiple parameters, the system uses luminance and chrominance value calculations combined with algorithmic criteria comparison to automatically determine document type and optimize settings, reducing mechanical complexity while improving accuracy.
3Manufacturing precision
If users specify document type, then optimal settings can be determined, but users may not understand document type distinctions
Solution Approach 1:
The system introduces an intermediary automated analysis process between the user and document type identification. Instead of requiring users to directly understand and classify document types, the system performs intermediate luminance and chrominance calculations, compares results against predefined criteria, and automatically determines the appropriate document type classification, bridging the gap between user capability and technical requirement.
Data Source
AI summary
Methods for establishing or configuring imaging device settings use the luminance and chrominance values of an original document. The document is identified as either a text document or a photograph based at least in part on the luminance values of the document's pixels, and identified as black and white or color document based at least in part on the chrominance values of the document's pixels. The settings of the imaging device may then be based at least in part on whether the document is a text or photograph, or black and white or color.