Patent · US Active

Method and system of multi-attribute network based fake imagery detection (MANFID)

US12347086B2 · kind B2 · utility

0Cited by

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18Claims

0Family size

Assignee

INTELLIGENT FUSION TECHNOLOGY, INC. · US

Inventors

Hua CHEN · Palo Alto, US
Bora SUL · Germantown, US
Genshe Chen · Germantown, US
Erik Blasch · Rome, US
Khanh Pham · Kirtland, US

Key dates

Filing date	Jul 29, 2022
Grant date	Jul 1, 2025
Priority date	—
Expiry date	Aug 29, 2043

Classification

Technology area (CPC G)Physics
CPC primaryG06T2207/20084
WIPO fieldComputer technology
WIPO sectorElectrical engineering

Abstract

A method for detecting fake images includes: obtaining an image for authentication, and hand-crafting a multi-attribute classifier to determine whether the image is authentic. Hand-crafting the multi-attribute classifier includes fusing at least an image classifier, an image spectrum classifier, a co-occurrence matrix classifier, and a one-dimensional (1D) power spectrum density (PSD) classifier. The multi-attribute classifier is trained by pre-processing training images to generate an attribute-specific training dataset to train each of the image classifier, the image spectrum classifier, the co-occurrence matrix classifier, and the 1D PSD classifier.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.