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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016 Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) |
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| Paper Title: | USE OF DEEP LEARNING FOR FAKE IMAGE DETECTION |
| Authors Name: | B.V.VAMSI KRISHNA , KAMMARI RYAGNIRVESH , POTHARAJU MAHESH |
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IJNRD_189682
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| Published Paper Id: | IJNRD2303428 |
| Published In: | Volume 8 Issue 3, March-2023 |
| DOI: | |
| Abstract: | 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. |
| Keywords: | Convolutional Neural Network (CNN), Local Binary Patterns (LBP), Deep Learning, detection of fake images |
| Cite Article: | "USE OF DEEP LEARNING FOR FAKE IMAGE DETECTION", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 3, page no.e223-e231, March-2023, Available :http://www.ijnrd.org/papers/IJNRD2303428.pdf |
| Downloads: | 000118768 |
| 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 |
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Published Paper ID:IJNRD2303428 Registration ID: 189682 Published In: Volume 8 Issue 3, March-2023 DOI (Digital Object Identifier): Page No: e223-e231 Country: HYDERABAD, TELANGANA, INDIA Research Area: Computer Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2303428 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2303428 |
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ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
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