OCR Property Input Screen for International Number Notation
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Solution Overview
Problem
Existing document management systems struggle to accurately process numerical values in documents due to variations in notation across different countries and languages, requiring users to manually set conversion rules, which is burdensome.
Innovation Solution
An information processing apparatus that automatically adjusts numerical value input based on character recognition results using a predetermined interpretation rule, allowing users to input numerical values correctly without manual conversion rule settings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual conversion rule setting is implemented to handle different numerical value notations, then processing accuracy is improved, but user burden and operation complexity increase
Solution Approach 1:
The system automatically detects the notation type of numerical values in scanned documents and performs conversion based on detected patterns, enabling the system to serve itself without requiring user intervention for rule configuration. The OCR results are automatically analyzed to identify notation patterns (comma vs dot usage) and conversions are executed autonomously.
Solution Approach 2:
The system pre-configures multiple conversion rules for different numerical value notations (Japanese, US, European formats) and automatically selects and applies the appropriate rule based on document detection, eliminating the need for users to set up rules in advance.
2Productivity
If automatic OCR processing is used to extract numerical values, then processing efficiency is improved, but accuracy deteriorates due to notation variations
Solution Approach 1:
The system performs initial OCR processing, then feeds the results back through a notation detection stage that identifies the specific notation pattern used in the document. Based on this feedback, the system automatically adjusts conversion parameters and re-processes the numerical values to ensure accurate interpretation of the detected notation type.
Solution Approach 2:
The system dynamically changes processing parameters based on detected notation patterns. When different notation types are detected (comma as decimal point vs dot as decimal point), the conversion parameters are automatically adjusted to match the detected pattern, ensuring accurate numerical value extraction while maintaining efficient automated processing.
3Adaptability or versatility
If multiple conversion rules are prepared for different countries and languages, then adaptability is improved, but system complexity increases
Solution Approach 1:
The system implements a universal conversion framework that can handle multiple numerical value notations (Japanese, US, European formats) through a single unified processing architecture. The system detects the notation type and automatically applies the appropriate conversion rules, eliminating the need for separate processing systems for each country or language.
Solution Approach 2:
The system pre-configures a comprehensive set of conversion rules for various international numerical value notations and stores them in a rule database. During processing, the system automatically selects and applies the appropriate pre-configured rule based on document detection, avoiding the need for complex real-time rule generation or manual configuration.
Data Source
AI summary
The user interface screen for inputting property information on a scanned image includes an input field to which information is input automatically based on results of character recognition processing performed for a character area included within the scanned image and in a case where the results of the character recognition processing are a numerical value, information that is input automatically to the input field is a numerical value after the numerical value of the results of the character recognition processing is changed in accordance with a predetermined interpretation rule of numerical value representation.