Analysis on Fake Face Detection
Author(s):
Rohit Upreti, Deepshikha, Dr. Pallavi Jain
Keywords:
Generative Adversarial Network, CNN, generative model, image synthesis
Abstract
Massive advances in image processing and AI computation have made it much easier to create, modify and create stunning images. With the advancement of modern image editing tools, creating fake images, such as replacing your own face with someone else's, has become much easier. Generic Adversarial Networks (GANs) can also be applied to generate generic human images. In case, fake images can cause numerous potential problems as they can mishandle data, harm people, and be used create recognizable fake evidence. In this research, we recommended Fake Face Detect, a criminological image stage using neural tissue to distinguish various fake face images, and a neural tissue based classifier to detect fake human appearances. We are focusing on recognizing fake images that are created not only physically by humans but also naturally created by Generative Adversarial Networks. Furthermore, we accept a trusted adversary who can modify and delete the metadata of the first image at will. We show that Fake Face Detect provides high accuracy in recognizing fake face images created by humans and Generative Adversarial Networks. Therefore, the recognition of fake facial images is fundamental to protecting people from various abuses.
Article Details
Unique Paper ID: 154912

Publication Volume & Issue: Volume 8, Issue 12

Page(s): 633 - 638
Article Preview & Download


Share This Article

Join our RMS



Conference Alert

NCSEM 2024

National Conference on Sustainable Engineering and Management - 2024

Last Date: 15th March 2024

Latest Publication

Call For Paper

Volume 11 Issue 1

Last Date for paper submitting for Latest Issue is 25 June 2024

About Us

IJIRT.org enables door in research by providing high quality research articles in open access market.

Send us any query related to your research on editor@ijirt.org

Social Media

Google Verified Reviews

Contact Details

Telephone:6351679790
Email: editor@ijirt.org
Website: ijirt.org

Policies

Important Links

Browse Rsearch papers