Automated Data Validation System for OCR Documents
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Solution Overview
Problem
Manual data entry in electronic documents often results in errors and inconsistencies, requiring significant repetitive clerical work for validation, especially in OCR-processed documents, which can be time-consuming and costly.
Innovation Solution
An automated system and method for validating data fields in electronic documents using a multi-layered validation approach that checks data integrity, applies business rules, and cross-validates across similar, related, and duplicate fields, reducing human intervention and improving accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual data entry and review is performed, then data accuracy can be maintained, but time consumption and labor cost increase significantly
Solution Approach 1:
The system performs self-validation by automatically comparing data fields against each other and against business rules without requiring manual review. The validation system checks consistency across duplicate fields, verifies data types and formats, and identifies discrepancies automatically, allowing the system to serve its own validation needs.
Solution Approach 2:
The patent replaces manual mechanical review processes with an automated computer-based validation system. The system uses software algorithms to automatically compare data fields, check for inconsistencies, and validate against business rules, substituting human clerical work with electronic processing.
2Loss of time
If automated validation is implemented, then time consumption is reduced, but system complexity increases
Solution Approach 1:
The validation system is divided into multiple independent validation modules that can be applied sequentially. Each module handles a specific aspect of validation (e.g., data type validation, format validation, cross-field consistency validation), making the overall complex system manageable through modular decomposition.
Solution Approach 2:
The validation system is designed as a universal framework that can validate multiple types of data fields across different document types using the same core mechanisms. The system handles various validation scenarios (duplicate fields, related fields, business rules) through a unified approach, reducing overall system complexity.
3Reliability
If multiple validation layers are applied, then data accuracy improves, but processing time increases
Solution Approach 1:
The system performs preliminary validation checks that can be completed quickly to filter out obviously incorrect data before applying more complex validation layers. Simple data type and format validations are performed first to eliminate erroneous records early in the process, reducing the burden on subsequent validation stages.
Solution Approach 2:
The validation system applies validation to all data fields (excessive action) but allows different levels of validation intensity based on the field's importance and the document type. Critical fields receive full validation while less critical fields receive simplified validation, optimizing the balance between accuracy and processing speed.
Data Source
AI summary
An automated method and system for validating (cross-validating) data fields in an electronic document, such as a document that has been passed through an optical character recognition (“OCR”) or Intelligent Document Recognition (“IDR”) system or software, to improve accuracy of the electronic document.