Improperly Redacted Document Detection via Intersection Analysis
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Solution Overview
Problem
Existing methods for redacting text in electronic documents, such as overlaying images, often fail to completely obscure sensitive information, allowing it to be extracted using various techniques, posing a risk of data leaks.
Innovation Solution
A method and system for detecting improperly redacted documents by analyzing text elements and redacted areas, computing the area of intersection, and applying thresholds to identify and output improperly redacted information, which includes rendering images and generating binary images to determine the presence of sensitive text.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If text is redacted by overlaying images in electronic documents, then the text becomes obscured from the untrained eye, but the obscured text can still be extracted using various techniques including standard applications, copying and pasting, software libraries, and text extraction tools
Solution Approach 1:
The patent replaces manual visual inspection and basic redaction verification with automated computer vision technology. The system uses machine learning models to detect and verify redaction effectiveness, substituting human judgment with algorithmic analysis that can identify improperly redacted text through pattern recognition and anomaly detection in the document structure and visual elements.
Solution Approach 2:
The patent introduces an intermediary verification system between the redaction process and the final document release. This intermediary layer analyzes the document to detect whether redaction overlays properly cover sensitive text, using image processing and text detection algorithms to verify that no confidential information remains visible or extractable before allowing document publication.
2Reliability
If automated detection systems analyze documents to identify improperly redacted text, then data protection reliability is improved, but the complexity of the system increases due to multiple analysis steps including text extraction, redaction area identification, and intersection computation
Solution Approach 1:
The patent divides the document analysis process into distinct modular segments: text element extraction, redaction area identification, intersection computation, and threshold comparison. Each segment is handled by specialized computational routines that can be independently optimized and maintained, reducing overall system complexity while improving reliability through focused functionality in each module.
Solution Approach 2:
The system performs self-verification by automatically analyzing its own detection results and making decisions about document readiness. The automated detection system evaluates rediction effectiveness without requiring manual intervention, using pre-defined thresholds and algorithms to independently determine whether documents are properly redacted and ready for publication.
Data Source
AI summary
A method is provided for identifying improperly redacted information in documents. The documents are analyzed to detect redacted areas and text elements and to identify an intersection between a redacted area and a text element. When an area of the intersection is greater than an intersection threshold, the document is identified as containing improperly redacted information.