Anomaly and fraud detection with fake event detection using machine learning
US12039615B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 4, 2023 |
| Grant date | Jul 16, 2024 |
| Priority date | — |
| Expiry date | Jan 4, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30176
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The present disclosure involves systems, software, and computer implemented methods for transaction auditing. One example method includes training at least one machine learning model to determine features that can be used to determine whether an image is an authentic image of a document or an automatically generated document image, using a training set of authentic images and a training set of automatically generated document images. A request to classify an image as either an authentic image of a document or an automatically generated document image is received. The machine learning model(s) are used to classify the image as either an authentic image of a document or an automatically generated document image, based on features included in the image that are identified by the machine learning model(s). A classification of the image is provided. The machine learning model(s) are updated based on the image and the classification of the image.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.