View source for 18505067. SYSTEMS AND METHODS FOR IMAGE DATA PROCESSING TO CORRECT DOCUMENT DEFORMATIONS USING MACHINE LEARNING SYSTEM simplified abstract (Capital One Services, LLC)

=SYSTEMS AND METHODS FOR IMAGE DATA PROCESSING TO CORRECT DOCUMENT DEFORMATIONS USING MACHINE LEARNING SYSTEM=


==Organization Name==

[[:Category:Capital One Services, LLC|Capital One Services, LLC]]


[[Category:Capital One Services, LLC]]

==Inventor(s)==

[[:Category:Reza Farivar of Champaign IL (US)|Reza Farivar of Champaign IL (US)]][[Category:Reza Farivar of Champaign IL (US)]]

[[:Category:Kenneth Taylor of Champaign IL (US)|Kenneth Taylor of Champaign IL (US)]][[Category:Kenneth Taylor of Champaign IL (US)]]

==SYSTEMS AND METHODS FOR IMAGE DATA PROCESSING TO CORRECT DOCUMENT DEFORMATIONS USING MACHINE LEARNING SYSTEM - A simplified explanation of the abstract==


This abstract first appeared for US patent application 18505067 titled 'SYSTEMS AND METHODS FOR IMAGE DATA PROCESSING TO CORRECT DOCUMENT DEFORMATIONS USING MACHINE LEARNING SYSTEM

==Simplified Explanation==

The abstract describes a system and method for processing image data representing a document to remove deformations contained in the document. The system includes memory devices storing instructions and processors executing the instructions to provide a training dataset to a machine learning system, process image data of a target document with deformations removed, and provide the restored image data to various systems.

* The system uses machine learning to process image data of documents with deformations and generate restored image data with deformations removed.
* The restored image data can be provided to a graphical user interface, image storage device, or computer vision system for further use.

== Potential Applications ==
This technology could be applied in industries such as document scanning, image processing, and computer vision systems.

== Problems Solved ==
This technology solves the problem of removing deformations from documents, improving the quality and readability of the scanned images.

== Benefits ==
The benefits of this technology include enhanced document processing efficiency, improved document quality, and better accuracy in document recognition tasks.

== Potential Commercial Applications ==
A potential commercial application of this technology could be in the development of document scanning software for businesses.

== Possible Prior Art ==
Prior art in this field may include image processing techniques for document enhancement and machine learning algorithms for image restoration.

=== Unanswered Questions ===

=== How does the system handle documents with complex deformations? ===
The system's ability to handle documents with complex deformations is not explicitly mentioned in the abstract. Further details on the system's capabilities in this regard would be helpful.

=== What is the computational efficiency of the machine learning system in processing image data? ===
The abstract does not provide information on the computational efficiency of the machine learning system used in processing image data. Understanding the system's speed and resource requirements would be important for practical implementation.


==Original Abstract Submitted==

Systems and methods for processing image data representing a document to remove deformations contained in the document are disclosed. A system may include one or more memory devices storing instructions and one or more processors configured to execute the instructions. The instructions may instruct the system to provide, to a machine learning system, a training dataset representing a plurality of documents containing a plurality of training deformations. The instructions may also instruct the system to use the machine learning system to process image data representing a target document containing a target document deformation. The machine learning system may generate restored image data representing the target document with the target document deformation removed. The instructions may further instruct the system to provide the restored image data to at least one of a graphical user interface, an image storage device, or a computer vision system.



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