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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 11
Issue Published : 118
Article Submitted : 21470
Article Published : 8508
Total Authors : 22383
Total Reviewer : 805
Total Countries : 157
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| Paper Title: | Deep Fake Face Detection Using LBPH |
| Authors Name: | Prof. Satish Chadokar , Anjali Gadwal , Rajani Dhurve , Koyina Rathore , Khush Premit Shah |
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| Author Reg. ID: |
IJRTI_189586
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| Published Paper Id: | IJRTI2404043 |
| Published In: | Volume 9 Issue 4, April-2024 |
| DOI: | |
| Abstract: | Deep learning is an efficient method that is used in several domains including machine vision, computer vision, image processing, and natural language processing. Deep fakes are images of people that have been synthesized and altered using deep learning techniques so that people are unable to tell which ones are fake. Deep fakes are created using generative adversarial neural networks (GAN), which pose a risk to public safety. The ability to identify deep fake visual content is essential. Detecting deep fakes in picture manipulation has been the subject of numerous research projects In this study, we apply the deep learning technique of fisher face using the local Binary Pattern Histogram (FF-LBPH) for the detection of deep fake face images. By employing LBPH to reduce the dimensions in the face space, the Fisher face algorithm recognizes faces. Next, use DBN and RBM to create a deep fake detection classifier. This work makes use of the following public data sets: FFHQ, 100K-Faces, DFFD, and CASIA-Web Face. |
| Keywords: | RBM, Deep learning, LBPH, DBM, Deep fake, and Fisher face |
| Cite Article: | "Deep Fake Face Detection Using LBPH", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.9, Issue 4, page no.310 - 316, April-2024, Available :http://www.ijrti.org/papers/IJRTI2404043.pdf |
| Downloads: | 000205463 |
| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2404043
Registration ID:189586
Published In: Volume 9 Issue 4, April-2024
DOI (Digital Object Identifier):
Page No: 310 - 316 Country: -, -, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2404043 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2404043 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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