Document Template for Repetitive Structure Data Capture
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Solution Overview
Problem
Existing data capture systems face inefficiencies in processing documents with repetitive structures, as they require multiple definitions of structure properties for each occurrence, which is time-consuming and error-prone, especially when dealing with documents that have repetitive fields or groups of fields across multiple pages.
Innovation Solution
A method and system that identify repetitive structures in a document image and apply once-described structure properties uniformly to all instances, allowing for efficient data capture and template creation, regardless of the number of occurrences, by using OCR/ICR-based data capture software to process and validate data across multiple pages.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple definitions of structure properties are provided for each occurrence of repetitive structures, then data capture accuracy is maintained, but template creation time and complexity increase significantly
Solution Approach 1:
The patent applies universality by creating a single template definition that can be applied to multiple occurrences of repetitive structures. The template engine identifies repetitive structures in documents and automatically reuses the same structure properties across all instances, allowing one template to serve multiple functions and multiple document types without requiring separate definitions for each occurrence.
Solution Approach 2:
The patent uses copying by creating instances of repetitive structures from a single template definition. When the template engine encounters a repetitive structure, it copies the structure properties from the template and applies them to each instance, eliminating the need to manually define the same properties multiple times while ensuring consistency across all occurrences.
2Reliability
If multiple definitions of structure properties are provided for each occurrence of repetitive structures, then processing rules are explicitly defined, but error probability and system complexity increase
Solution Approach 1:
The template system achieves universality by designing a single structure property definition that can be applied to multiple repetitive structures. The template engine automatically identifies when structures are repetitive and reuses the same properties, reducing the number of definitions needed and simplifying the overall system while maintaining explicit processing rules through the template configuration.
Solution Approach 2:
The patent merges multiple structure property definitions into a single template definition. By combining the properties of multiple repetitive structures into one unified template, the system reduces complexity and the number of individual definitions required, while still maintaining the ability to process each structure according to the defined rules.
3Reliability
If traditional data capture systems process each structure occurrence individually, then each structure is handled with specific properties, but processing efficiency decreases for documents with many repetitive structures
Solution Approach 1:
The template engine uses copying to create multiple instances of structure properties from a single template definition. When processing documents with repetitive structures, the engine copies the template properties and applies them to each instance automatically, maintaining individual structure processing integrity while dramatically improving efficiency by eliminating manual definition repetition.
Solution Approach 2:
The patent applies preliminary action by pre-defining structure properties in a template before processing the actual document. The template engine prepares the structure property definitions in advance, so when repetitive structures are encountered during document processing, the properties are already defined and ready to be applied, eliminating the need to define them during the processing phase and improving overall efficiency.
Data Source
AI summary
In one embodiment, there is disclosed a method capturing data from a document image. The method 300 comprises processing the document image to identify at least one repetitive structure and performing a capturing operation including creating a plurality of instances of the repetitive structure based on once-described structure properties of the repetitive structure in a document template, and populating each instance with corresponding data from the document image. The method may also include creating a document template for capturing data from a document image.