18183563. METHOD AND SYSTEM FOR DETECTING ANOMALIES IN A PORTABLE DOCUMENT FORMAT (PDF) DOCUMENT simplified abstract (Dell Products L.P.)
Contents
METHOD AND SYSTEM FOR DETECTING ANOMALIES IN A PORTABLE DOCUMENT FORMAT (PDF) DOCUMENT
Organization Name
Inventor(s)
Sailendu Kumar Patra of Bangalore (IN)
METHOD AND SYSTEM FOR DETECTING ANOMALIES IN A PORTABLE DOCUMENT FORMAT (PDF) DOCUMENT - A simplified explanation of the abstract
This abstract first appeared for US patent application 18183563 titled 'METHOD AND SYSTEM FOR DETECTING ANOMALIES IN A PORTABLE DOCUMENT FORMAT (PDF) DOCUMENT
Simplified Explanation: The patent application describes a method for analyzing a PDF document by modifying the background color, converting it into an image, reducing background noise, generating image patches, processing them using a convolutional neural network, determining document validity, and notifying the user through a GUI.
Key Features and Innovation:
- Modification of background color of PDF document
- Conversion of modified document into an image
- Reduction of background noise in the image
- Generation of image patches
- Processing image patches using a convolutional neural network
- Determination of document validity
- Notification to user through a GUI
Potential Applications: This technology can be used in document verification, fraud detection, security applications, and content analysis.
Problems Solved: The technology addresses the issues of document fraud, security breaches, and content manipulation in PDF documents.
Benefits:
- Enhanced document security
- Improved fraud detection capabilities
- Efficient content analysis
- User-friendly interface for notifications
Commercial Applications: The technology can be applied in industries such as finance, legal, healthcare, and government for secure document processing, fraud prevention, and content verification.
Questions about the Technology: 1. How does the technology ensure document validity? 2. What are the potential limitations of using a convolutional neural network for document analysis?
Frequently Updated Research: Stay updated on advancements in convolutional neural networks for document analysis and fraud detection to enhance the capabilities of this technology.
Original Abstract Submitted
A method for analyzing a PDF document includes: modifying, by an analyzer, a background color of the document to a second color to generate a modified document; converting, by a noise removal module (NRM), the modified document into an image; making, by the NRM, a first determination that the image comprises a background noise, in which the noise is reduced by modifying an area within the image; generating, by a fraud detection module (FDM), at least one image patch from the image; generating, by the FDM, an embedding for the at least one image patch, in which the embedding is processed using a convolutional neural network (CNN) layer; making, by the FDM and based on an output of the CNN layer, a second determination that the document is invalid; and notifying, by the FDM, a user about the second determination using a GUI of the client.
