Duplicate Form Detection in Tax Documents via Segmentation
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Solution Overview
Problem
Existing digital image processing techniques face challenges in accurately extracting text data from documents containing duplicate copies of forms, such as tax-related documents, due to variations in layout and image quality, which affects OCR performance and increases processing time.
Innovation Solution
A computer-implemented method for detecting duplicate copies of forms in digital images by performing transformations, detecting rectangles, and identifying duplicate copies based on spatial information and decision rules, generating notifications to improve image quality and reduce errors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If the user captures an image of the entire tax-related document including duplicate copies of the form, then all forms are captured in a single image, but the resolution of each individual form becomes inadequate for OCR processing
Solution Approach 1:
The system segments the document image into multiple individual form images by detecting duplicate forms and their boundaries. This allows each form to be processed separately with adequate resolution, resolving the contradiction between capturing multiple forms and maintaining sufficient image quality for OCR.
2Measurement precision
If the user captures multiple separate images of independent tax-related forms, then each form has adequate resolution for OCR, but the process becomes more time-consuming and complex
Solution Approach 1:
The system performs preliminary detection of duplicate forms and their spatial relationships in a single captured image. By identifying and separating forms digitally before OCR processing, it eliminates the need for users to manually capture multiple separate images, thus saving time while maintaining adequate resolution for each form.
3Loss of information
If OCR is performed on images containing duplicate copies of forms, then all text data is extracted, but processing time increases and errors increase due to duplicate data
Solution Approach 1:
The system extracts and identifies duplicate forms from the document image, then processes only unique forms for OCR. This eliminates redundant processing of duplicate data, improving processing efficiency while maintaining complete extraction of all necessary text information from unique forms.
4Loss of information
If the system processes all forms in the document including duplicates, then complete data is obtained, but processing complexity and computational resources increase
Solution Approach 1:
The system performs preliminary detection and classification of duplicate forms before OCR processing. By identifying and filtering duplicates in advance, it reduces the complexity of the main processing stage while ensuring that all unique forms are completely processed, thus maintaining data completeness with reduced computational complexity.
Data Source
AI summary
Aspects of the present disclosure provide methods and apparatuses for detecting duplicate copies of a form in an image of a document. An exemplary method generally includes obtaining a first digital image of a document, performing one or more transformations on the first digital image, determining one or more rectangles in the transformed first digital image, identifying at least a first duplicate copy of the form being depicted in the first digital image based, at least in part, on the detected one or more rectangles, and generating, based on the identified duplicate copy of the form, a notification that the first digital image includes at least the first duplicate copy of the form.