Anomalie- und Betrugserkennung mit Erkennung von Falschereignissen unter Verwendung von Maschinenlernen

Details

Veröffentlichungs-Nr.

EP3761227

Aktenzeichen

EP20183783

Anmeldetag

2. Juli 2020

Veröffentlichung

4. März 2026

Erteilung

4. März 2026

Rechtsraum

EP

IPC

G06V10/764G06V30/146G06V30/18G06V30/412G06F18/2413

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.

Anmelder

Firma

SAP SE

Land

🇩🇪 Deutschland

Fachgebiete