OCR Program User Control Output Document Structure
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional optical character recognition (OCR) technologies lack user control over output file types, data formats, document structures, and content arrangements, limiting their practical usefulness beyond basic character recognition.
Innovation Solution
The OCR program is enhanced with user input features allowing sample documents as references for generating output documents, real-time user instructions for data rearrangement, and the ability to input designated file types and format structures, enabling more control over the output document organization and structure.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If conventional OCR programs perform primitive recognition operations only, then the recognition process is simple and fast, but the user control over output file types, data formats, and document structures is limited
Solution Approach 1:
The OCR program is divided into multiple functional modules: a recognition module for character recognition, a command recognition module for interpreting user instructions, and a file management module for output control. This segmentation allows each module to handle specific tasks independently, providing comprehensive user control without overwhelming system complexity
Solution Approach 2:
The OCR program is designed to perform multiple functions beyond basic character recognition, including command interpretation, file format conversion, document structure organization, and data extraction. This multi-functionality enables the single program to satisfy diverse user needs across different document processing scenarios
2Adaptability or versatility
If the OCR program provides only basic character recognition, then the processing speed is fast, but the practical usefulness is greatly limited
Solution Approach 1:
The system performs preliminary actions by providing an initial draft document with recognized text before final output generation. Users can review and modify the draft, and the system then uses this feedback to generate the final formatted document automatically, improving both versatility and maintaining productivity
Solution Approach 2:
The OCR program automatically performs file management tasks, document formatting, and data organization without requiring extensive manual intervention. The system self-adjusts based on user preferences and document requirements, enhancing practical usefulness while maintaining efficient processing speed
3Adaptability or versatility
If the OCR program allows extensive user control over output formats and document structures, then the flexibility is improved, but the program complexity increases
Solution Approach 1:
A command recognition module serves as an intermediary between user input and the OCR processing system. This intermediary layer interprets user instructions in natural language or predefined commands, translating them into appropriate processing parameters, thereby providing extensive control flexibility while shielding users from underlying program complexity
4Loss of time
If the OCR program performs only initial recognition operations, then the processing time is short, but no further management and processing can be done
Solution Approach 1:
The OCR program implements continuous useful action by automatically performing a sequence of operations: initial character recognition, command interpretation, document formatting, data extraction, and final output generation. This continuous automated processing minimizes manual intervention time while maintaining ease of document management and processing
Data Source
AI summary
An optical character recognition (OCR) system that includes a user-input function for receiving a user input sample for executing said OCR system for optically recognizing a document to generate an output file using the user input sample as a reference.