Image File Sorting via OCR Keyword Extraction from Marker Portions
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Solution Overview
Problem
Conventional image file sorting methods require manual input of keywords and extraction ranges, leading to low accuracy and inefficiency, as users must manually specify keywords and extraction areas.
Innovation Solution
An image file sorting method that uses a device with a storage unit, control unit, and image reading unit to extract sorting keywords from marker portions of image files, which are then collated with stored sorting conditions to automatically determine and sort the image files into designated destinations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual keyword input method is used, then user can specify keywords, but user has to manually specify keyword and extraction range which reduces efficiency
Solution Approach 1:
The system automatically extracts keywords from image files using OCR technology and marker portions without requiring user intervention. The sorting device performs self-service by autonomously reading image data, extracting relevant keywords, determining sorting destinations, and organizing files, thereby eliminating manual keyword specification while maintaining high accuracy through automated image recognition and analysis
Solution Approach 2:
The manual mechanical process of keyword specification is replaced by an automated optical and computational system. OCR technology converts image text into machine-readable keywords, and computer algorithms automatically analyze marker portions and collate keywords with sorting conditions, substituting human manual operations with automated optical recognition and digital processing systems
2Productivity
If automatic keyword extraction by indexing is used, then keyword extraction is automated, but keyword is not correctly extracted which results in low accuracy
Solution Approach 1:
Marker portions serve as intermediaries between the image content and keyword extraction process. Users can manually mark specific regions in images that contain important information, and the system uses these marker portions as guides to accurately extract keywords from the correct areas, bridging the gap between automated extraction and user intent while improving accuracy
Solution Approach 2:
The system replaces simple text indexing with advanced OCR technology that optically recognizes and extracts text from image files. This substitution enables accurate keyword extraction by converting image-based text into machine-readable format, allowing the system to correctly identify and extract keywords directly from image content rather than relying on metadata or file names
3Measurement precision
If manual keyword specification is required, then keyword can be precisely controlled, but user has to manually specify extraction range which increases operation complexity
Solution Approach 1:
The sorting device performs self-service by automatically determining extraction ranges through OCR technology and automated image analysis. The system autonomously identifies relevant text regions, extracts keywords, and processes sorting without requiring users to manually specify extraction ranges, thereby simplifying operations while maintaining precision through automated recognition and analysis capabilities
Data Source
AI summary
An image file sorting method is executed by an image file sorting device, including a storage unit, a control unit, and an image reading unit, wherein the storage unit includes a sorting condition storage unit that stores a sorting condition to specify a sorting destination of an image file. The method includes a sorting keyword extracting step of extracting a sorting keyword from a marker portion of the image file read by the image reading unit, a sorting destination deciding step of deciding the sorting destination of the image file by collating the sorting keyword extracted by the sorting keyword extracting step and the sorting condition stored in the storing condition storage unit, and an image file sorting step of sorting the image file into the sorting destination decided by the sorting destination deciding step.