Document Image Recreation Using Lift Data and Metadata
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Solution Overview
Problem
The need to reduce storage space requirements for electronic documents while maintaining the ability to recall and recreate images of financial documents efficiently, as traditional methods of storing high-resolution images of documents consume large amounts of data storage.
Innovation Solution
A system that captures and processes document images to extract metadata and specific image data, allowing for the recreation of document images using templates or image lift technology, thereby storing only critical aspects of the document instead of the entire image file, reducing storage needs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If high-resolution images of documents are stored traditionally, then image quality and completeness are maintained, but storage space requirements increase significantly
Solution Approach 1:
The patent extracts and stores only the essential data elements from complete document images, such as metadata, text content, and key visual features. This extraction approach maintains the ability to recreate document images while significantly reducing the storage space required, as only critical aspects are retained rather than storing entire high-resolution images.
Solution Approach 2:
The patent creates simplified copies or representations of document images using templates and stored data elements. Instead of storing original high-resolution images, the system generates recreated images by combining template structures with extracted data, maintaining visual utility while minimizing storage requirements.
2Loss of information
If complete document images are stored for recall, then full document detail is available, but retrieval and processing time increase
Solution Approach 1:
The patent segments document information into distinct data elements such as metadata, text content, and visual features. This segmentation allows the system to store and retrieve only the specific elements needed for a given purpose, rather than retrieving complete document images, thereby reducing retrieval time while maintaining access to full document details when necessary.
3Quantity of substance
If only critical data elements are stored, then storage efficiency improves, but ability to recreate accurate document images deteriorates
Solution Approach 1:
The patent combines multiple types of data elements (metadata, text data, and image lift data) with template structures to create composite recreated document images. This composite approach ensures that while storage efficiency is improved by storing only critical elements, the recreation accuracy is maintained through the integration of various data types that together reconstruct the original document appearance.
Data Source
AI summary
Embodiments of the invention include systems, methods, and computer-program products for providing recreated image documents using image lift data. In this way, an entity may store limited amounts of image data from an original document and subsequently recreate the document image using image lift data. As such, the invention may receive an image document for storage. Upon receiving a document from a transaction for storage, the system may store metadata associated with that document, instead of storing the entire document as a high resolution image file. Furthermore, the system may determine specific unique elements of the document (such as signatures or the like) to capture as an image file. This allows the unique element to be lifted as image data. Using the lifted image data, in combination with the metadata, the system may recreate the image as a system generated image for user recall and reconciliation.


