UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 8 Issue 6
June-2021
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2106054


Registration ID:
310153

Page Number

a425-a433

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Title

AN INTELLIGENT SYSTTEM TO DETECT AND CLASSIFY THE IMAGE FORGERY ATTACKS: COPY-MOVE FORGERY AND IMAGE SPLICING

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Abstract

Image forgery means the malicious modification of digital images with the intention of fraud which hardly leaves any detectible traces to detect a forged image we need so much information about the image (for e.g.: RGB, Retouching, Resize, Checksum, file name, file creation date/time, etc).to gathering this type of image we use many tools like Winhex, Image processing, ExifTool, Adobe, etc. if any person wants all the information about the image then person wants to use many tools that take too much time and skillset in our case we show two attacks on image, copy- move forgery attack and image splicing attack. we check the original image and forged image information. Also, check the accuracy of the original image and forged image and create a report that shows the original image and forged image information. This will help layman and forensics investigators as well and will save time. We have seen images have played a major role as evidence in many crime scenes and this would create a major impact in investigation and forensics analysis. This tool could also help law enforcement agencies.

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"AN INTELLIGENT SYSTTEM TO DETECT AND CLASSIFY THE IMAGE FORGERY ATTACKS: COPY-MOVE FORGERY AND IMAGE SPLICING ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 6, page no.a425-a433, June-2021, Available :http://www.jetir.org/papers/JETIR2106054.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"AN INTELLIGENT SYSTTEM TO DETECT AND CLASSIFY THE IMAGE FORGERY ATTACKS: COPY-MOVE FORGERY AND IMAGE SPLICING ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 6, page no. ppa425-a433, June-2021, Available at : http://www.jetir.org/papers/JETIR2106054.pdf

Publication Details

Published Paper ID: JETIR2106054
Registration ID: 310153
Published In: Volume 8 | Issue 6 | Year June-2021
DOI (Digital Object Identifier):
Page No: a425-a433
Country: Ghodasar,Ahmedabad, GUJARAT, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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