Scanned Document Detection to Skip OCR on Embedded Text
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Solution Overview
Problem
Existing optical character recognition (OCR) systems inaccurately process image documents that already contain text data, leading to errors and increased computational resource usage.
Innovation Solution
A system determines whether an image document includes a digital overlay with text data, and if so, skips OCR to improve accuracy and reduce resource usage by providing the existing text data directly to natural language processing systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If OCR is performed on all image documents, then text data can be extracted from documents without digital overlays, but computational resources are wasted and accuracy decreases for documents that already contain text data
Solution Approach 1:
The system performs preliminary detection of digital overlays before initiating OCR processing. By checking for the presence of text data in digital overlays first, the system可以避免 unnecessary OCR operations, thereby saving computational resources and maintaining accuracy for documents that already contain extractable text data
Solution Approach 2:
Documents with digital overlays containing text data serve themselves by providing ready-to-use text information without requiring additional OCR processing. The system leverages the self-contained text data in digital overlays to bypass resource-intensive OCR operations
2Reliability
If OCR is performed on all image documents, then text extraction is ensured for documents without digital overlays, but processing time increases and efficiency decreases
Solution Approach 1:
The system performs preliminary detection of digital overlays and text data availability before committing to full OCR processing. This preliminary check ensures reliable text extraction by routing documents appropriately while improving overall processing efficiency through selective OCR application
Solution Approach 2:
The processing pipeline dynamically adapts its approach based on document characteristics. Documents with digital overlays follow a streamlined path with skipped OCR, while documents without overlays undergo full OCR processing, creating a dynamic and efficient system that maintains reliability across diverse document types
3Use of energy by moving object
If digital overlay detection is implemented, then unnecessary OCR operations can be avoided, but system complexity increases
Solution Approach 1:
The system segments the document processing workflow into distinct stages: digital overlay detection, text data verification, and conditional OCR execution. This segmentation allows the system to add detection capabilities without overwhelming complexity, as each stage handles a specific function independently
Solution Approach 2:
The digital overlay detection mechanism acts as an intermediary layer between document input and OCR processing. This intermediary component manages the complexity by providing a clear decision point that routes documents appropriately, preventing the need for complex modifications to the core OCR functionality
Data Source
AI summary
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for detecting image document text data. One of the methods includes determining, for an image document that depicts text, whether the image document includes a digital overlay; in response to determining that the image document includes a digital overlay, determining whether the digital overlay comprises text data for the text depicted in the image document, metadata that is a different type of data than the text data, or both; and in response to determining that the digital overlay comprises at least text data: determining to skip optical character recognition of the image document; and providing, to a downstream system, a message that indicates that the image document has text data.