Automated Document Image Linking via Feature Detection
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Solution Overview
Problem
Current methods for linking document images with indexed data are manual, error-prone, and time-consuming, especially when dealing with historical documents of varying quality and format, leading to inconsistencies and inefficiencies in preserving and accessing historical document collections.
Innovation Solution
The development of methods and systems that utilize image processing algorithms to analyze document images and identify features such as record entries, handwriting recognition, blank fields, and strikethroughs, allowing for automated linking of document images with indexed data, even across different sources, and adjusting for inconsistencies in image and data sets.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual interactive software tools are used for linking document images with indexed data, then the process allows user verification and adjustment, but the process becomes tedious and error-prone
Solution Approach 1:
The system performs automated image-to-dataset linking using image processing algorithms that independently analyze document images, extract features, and match them with indexed data without requiring manual user intervention for each pairing operation
Solution Approach 2:
The patent replaces the manual mechanical process of user verification and adjustment with automated image processing algorithms that use optical character recognition, feature detection, and pattern matching to perform the linking function
2Adaptability or versatility
If multiple sources and formats of historical documents are processed, then comprehensive document preservation is achieved, but inconsistencies in image quality and data sequence arise
Solution Approach 1:
The system adjusts processing parameters dynamically based on image quality characteristics, using adaptive thresholds and feature weights that change according to the specific format and condition of each document source
Solution Approach 2:
The patent divides the document processing into separate analysis stages, examining individual features (text content, layout patterns, handwriting characteristics) independently before integrating results to establish connections between images and datasets
3Productivity
If automated image processing algorithms are used to link document images with indexed data, then the linking process is simplified and accelerated, but the system must handle varying image qualities and formats
Solution Approach 1:
The patent implements a universal image processing framework that handles multiple document formats, qualities, and types through a single integrated system capable of performing OCR, feature detection, pattern recognition, and data matching functions
Data Source
AI summary
According to one embodiment, a method of linking a document image with indexed data is provided. The method may be performed by providing a document image, which is a digitized document having various information. Indexed data is also provided, which is a record that includes information extracted from the document image or a different document image. The process is further performed by identifying a feature of the indexed data and analyzing the document image to determine whether the feature is present within the information of the digitized document. The feature may be information or a characteristic defined by the information extracted from the document image or the different document image. If the feature is present within the information of the digitized document, a determination is made that the indexed data corresponds with the document image and the indexed data is linked with the document image.