USE OF DEEP LEARNING FOR FAKE IMAGE DETECTION
B.V.VAMSI KRISHNA
, KAMMARI RYAGNIRVESH , POTHARAJU MAHESH
Convolutional Neural Network (CNN), Local Binary Patterns (LBP), Deep Learning, detection of fake images
Biometric technologies are useful now for identifying people, but criminals alter
their look, behaviour and psychological makeup to trick identification systems. We are
employing a novel method called Deep Texture Features extraction from photos to solve this
issue, followed by the construction of a machine learning model using the CNN (Convolution
Neural Networks) algorithm. This method is also known as LBPNet or NLBPNet since it
relies so heavily on the LBP (Local Binary Pattern) algorithm for features extraction.
In order to identify false face photos, we are proposing an LBP-based machine learning
convolution neural network dubbed LBPNET. Here, we will first extract LBP from the
photos, and then we will train the convolution neural network on the LBP descriptor images
to produce the training model. Every time a new test picture is uploaded, the training model
will use that image to determine if the test image contains fraudulent images or not. Listed
below are some LBP details.
"USE OF DEEP LEARNING FOR FAKE IMAGE DETECTION", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.8, Issue 3, page no.e223-e231, March-2023, Available :https://ijnrd.org/papers/IJNRD2303428.pdf
Volume 8
Issue 3,
March-2023
Pages : e223-e231
Paper Reg. ID: IJNRD_189682
Published Paper Id: IJNRD2303428
Downloads: 000118893
Research Area: Computer Science & Technology
Country: HYDERABAD, TELANGANA, INDIA
ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJNRD (IJ Publication) Janvi Wave
