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Patent Searching and Data


Title:
METHOD AND SYSTEM FOR DETECTING FACE IMAGE GENERATED BY DEEP NETWORK
Document Type and Number:
WIPO Patent Application WO/2019/214557
Kind Code:
A1
Abstract:
Disclosed are a method and system for detecting a face image generated by a deep network, said method comprising: constructing a training sample set consisting of real face images and generated face images; performing modelling on the training sample set on the basis of colour relationships, and extracting statistical features; performing training on the statistical features in order to obtain a classification model; performing prediction on an image to be tested on the basis of the classification model. A set of adjacent pixel colour relationship-based co-occurrence matrix features is designed according to inconsistencies between face images generated by a deep network and real images in terms of statistical features. The present invention has a very high detection accuracy for face images of different sizes generated by different types of deep networks, and can effectively determine whether a given face image is a false image generated by a deep network, thereby increasing security.

Inventors:
LI, Haodong (No. 3688, Nanhai Road Nanshan Distric, Shenzhen Guangdong 0, 518060, CN)
HUANG, Jiwu (No. 3688, Nanhai Road Nanshan Distric, Shenzhen Guangdong 0, 518060, CN)
Application Number:
CN2019/085592
Publication Date:
November 14, 2019
Filing Date:
May 06, 2019
Export Citation:
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Assignee:
SHENZHEN UNIVERSITY (No. 3688, Nanhai Road Nanshan Distric, Shenzhen Guangdong 0, 518060, CN)
International Classes:
G06K9/00
Foreign References:
CN108596141A2018-09-28
CN106971161A2017-07-21
CN104573743A2015-04-29
CN105740787A2016-07-06
CN107844744A2018-03-27
US8705866B22014-04-22
Attorney, Agent or Firm:
JOHNSON INTELLECTUAL PROPERTY AGENCY(SHENZHEN) (Room 503, Block A Shenzhen National Engineering Laboratory Building,No.20 Gaoxin South 7th Road, Gaoxin District Community, Yuehai Street, Nanshan Distric, Shenzhen Guangdong 0, 518000, CN)
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