Form Identification Using Entry Information Reliability Scores
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Solution Overview
Problem
Existing form identification systems struggle to accurately specify the type of a form when the format information is insufficient or ambiguous, leading to multiple possible form types being identified instead of a single type.
Innovation Solution
An information processing device with a storage unit, reception unit, recognition unit, identification unit, and specification unit that recognizes format and entry information, compares it with stored form models, and calculates reliability scores to sequence and prioritize form types for accurate identification, even when format information is insufficient.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If form identification is performed based only on format information (ruled lines, preprinted strings), then the identification process is simple, but the form type cannot be specified when multiple form types have similar formats
Solution Approach 1:
The patent introduces entry information (preprinted strings and ruled lines) as an intermediary element to mediate between format information and form type identification. When format information alone is insufficient to distinguish between multiple form types, the system uses entry information as additional discriminatory features to achieve accurate identification without requiring complex user intervention
Solution Approach 2:
The system changes the parameters used for identification from solely format-based (ruled lines, preprinted strings) to a combination of format information and entry information. By incorporating multiple parameters including the presence, category, and proportion of entry information, the system resolves ambiguities when form types have similar formats
2Adaptability or versatility
If multiple form types are identified when format information is insufficient, then more form types are covered, but user effort to select the correct form type increases
Solution Approach 1:
The system performs self-service by automatically calculating reliability scores and determining the most likely form type without requiring user intervention. The specification unit autonomously evaluates multiple candidate form types using reliability calculations based on entry information, and automatically specifies the correct form type, thereby eliminating the need for users to manually select from multiple possibilities
3Measurement precision
If reliability calculation uses entry information presence, category, and proportion, then form type specification accuracy improves, but processing complexity increases
Solution Approach 1:
The reliability calculation process is segmented into distinct components: entry information presence detection, category classification, and proportion calculation. Each component processes a specific aspect of entry information independently, and the results are combined to produce the overall reliability score. This segmentation makes the complex processing more manageable and systematic
Data Source
AI summary
According to an embodiment, an information processing device includes a storage unit, a reception unit, a recognition unit, and a specification unit. The storage unit stores therein accumulated information containing entry information of multiple types of forms accumulated by form type and entry field. The reception unit receives a form. The recognition unit recognizes the entry information contained in the form received by the reception unit. The specification unit compares the accumulated information and the entry information recognized by the recognition unit to specify the type of the form received by the reception unit.