Automated Page Number Removal for Document Repurposing
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Solution Overview
Problem
Existing methods for combining content from different sources into a unified document with consistent formatting and consecutive page numbers are inefficient due to the variability in formatting, location, and type of page numbers, making manual removal difficult and prone to errors.
Innovation Solution
A technique that automatically detects and removes page numbers by extracting samples from a document, comparing sequential pages to identify patterns, and then removing page numbers based on these patterns, allowing for the creation of a unified document with consistent pagination.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If manual removal of page numbers is performed, then formatting consistency can be achieved, but the process is time-consuming and error-prone
Solution Approach 1:
The system performs self-service by automatically detecting and removing page numbers through pattern recognition. The computer extracts samples from the document, identifies page number patterns autonomously, and removes them without human intervention, thereby achieving formatting consistency while eliminating the time cost of manual processing.
Solution Approach 2:
The patent replaces the mechanical manual process with an automated computer-based system. Instead of human operators manually identifying and removing page numbers, the system uses optical character recognition and pattern matching algorithms to automatically detect and remove page numbers, significantly reducing processing time while maintaining or improving accuracy.
2Productivity
If automated page number removal is implemented, then processing speed increases, but accuracy decreases due to variability in page number formats
Solution Approach 1:
The system segments the document into multiple samples and further segments each sample into smaller regions for analysis. By dividing the document into manageable portions and analyzing page number patterns in each segment separately, the system can handle diverse formatting variations accurately while maintaining high processing speed through parallelization.
Solution Approach 2:
The system dynamically adjusts detection parameters based on the identified page number patterns. By changing the recognition parameters to match the specific format detected in each document (position, font, size, style), the system maintains high accuracy across varied formats while preserving automated processing speed.
3Manufacturing precision
If comprehensive pattern matching is performed across all pages, then removal accuracy improves, but computational complexity increases
Solution Approach 1:
The system performs partial action by analyzing only representative samples of the document rather than every single page. By extracting and analyzing a subset of pages to identify patterns, then applying these patterns to the entire document, the system achieves high recognition accuracy while significantly reducing computational complexity compared to exhaustive analysis of all pages.
Data Source
AI summary
When repurposing a document, a processor reads a document having multiple pages and extracts three samples of the multiple pages of the document. For each of the three samples, the processor compares sequential pages within a respective sample to identify a pattern of markers, such as page numbers. A marker is found by splitting a page into smaller regions and wherein each smaller region is searched for the marker and if the marker is not found continuing to split a smaller region into further smaller regions. The processor removes the markers based on identified patterns for each respective sample of the document.