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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)
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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
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Published Paper Details:
Paper Title
SURVEY OF IMAGE FORGERY DETECTION USING MACHINE LEARNING
Authors
Nikita Patil, Dr. Vina Lomte, Om Maswale, Dinesh More, Krishna Kalewar
Keywords
Image Splicing, CNN, Pattern Recognition, Steganalysis, Image Processing.
Abstract
: As many image tampering frauds are increasing day by day it's important to alert
people about it and help to create an system with high accuracy. In this paper an image forgery
detection system is purposed using CNN which will identify tampering by comparing two
original and tampered datasets and show different types of tampering and detect with high
accuracy in CASIA dataset. In image forgery detection, LBP can be utilized to capture the
unique texture characteristics of an authentic image. Any alterations or forgeries may lead to
changes in these texture patterns, allowing the system to detect inconsistencies. LBP has been
proven effective in various image analysis tasks, including face recognition and texture
classification, making it a valuable tool in image forgery detection systems.
IJCRT's Publication Details
Unique Identification Number - IJCRT2312283
Paper ID - 246341
Page Number(s) - c474-c477
Pubished in - Volume 11 | Issue 12 | December 2023
DOI (Digital Object Identifier) -
Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
Nikita Patil, Dr. Vina Lomte, Om Maswale, Dinesh More, Krishna Kalewar, "SURVEY OF IMAGE FORGERY DETECTION USING MACHINE LEARNING", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.11, Issue 12, pp.c474-c477, December 2023, Available at :http://www.ijcrt.org/papers/IJCRT2312283.pdf
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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