18418448. SYSTEMS AND METHODS FOR CLASSIFYING DOCUMENTS simplified abstract (Capital One Services, LLC)
Contents
- 1 SYSTEMS AND METHODS FOR CLASSIFYING DOCUMENTS
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 SYSTEMS AND METHODS FOR CLASSIFYING DOCUMENTS - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Unanswered Questions
- 1.11 Original Abstract Submitted
SYSTEMS AND METHODS FOR CLASSIFYING DOCUMENTS
Organization Name
Inventor(s)
SYSTEMS AND METHODS FOR CLASSIFYING DOCUMENTS - A simplified explanation of the abstract
This abstract first appeared for US patent application 18418448 titled 'SYSTEMS AND METHODS FOR CLASSIFYING DOCUMENTS
Simplified Explanation
The abstract describes a system that iteratively scans a document, extracts data, and determines the document type based on confidence thresholds.
- The system scans a portion of a document, extracts data, and uses a trained model to determine the document type.
- It repeats this process, increasing the scanned portion until a match is found.
- Upon finding a match, a notification is displayed on a user device.
Potential Applications
This technology could be applied in document management systems, data extraction tools, and automated document classification systems.
Problems Solved
This system solves the problem of efficiently and accurately identifying document types within a large document.
Benefits
The system streamlines document processing, improves accuracy in document classification, and enhances user experience by providing real-time notifications.
Potential Commercial Applications
"Automated Document Type Identification System for Efficient Document Management"
Possible Prior Art
Prior art may include existing document classification systems, data extraction tools, and document scanning technologies.
Unanswered Questions
How does the system handle documents in multiple languages?
The abstract does not mention how the system deals with documents that contain text in different languages. It would be important to understand if the system has language detection capabilities and how it processes multilingual documents.
What is the impact of the confidence thresholds on the accuracy of document type identification?
The abstract mentions using confidence thresholds to determine document types, but it does not elaborate on how these thresholds are set or how they affect the accuracy of the system. It would be interesting to know more about the relationship between confidence levels and the system's performance.
Original Abstract Submitted
A system may iteratively scan a portion of a document, extract first data from the portion of the document, and determine, using a trained model, whether the first data corresponds to one or more document types based on one or more confidence thresholds. The system may repeat this process, increasing the portion of the document scanned by a predetermined amount each iteration, until the first data corresponds to the one or more document types based on the one or more confidence thresholds. Responsive to determining the first data corresponds to the one or more document types based on the one or more confidence thresholds, the system may cause a graphical user interface (GUI) of a user device to display a notification indicating a document type match.
