Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/410559
Title: An approach for detection of forgeries in digital images
Researcher: Walia, Savita
Guide(s): Krishan Kumar
Keywords: Authenticity
Digital image forensics
Forgery detection
Image features
Image processing
University: Panjab University
Completed Date: 2021
Abstract: The essential aim of the work reported in this thesis is to upgrade the current degree of comprehension of the subject of image content verification and present practical tamper detection strategies and solutions that remain apposite to a wide scope of pragmatic forensic situations. newlineThe outcomes of broad experimentation validate the effectiveness of the proposed arrangements and further demonstrate that the proposed approach is fit for fulfilling the necessities of true real-world forensic situations. Broadly speaking, the proposed approach was able to detect forgeries with the precision rates of 94.59% and 99.49%, and accuracy of 93.86% and 96.79% on benchmark datasets viz. CASIA v1 and CASIA v2, respectively. newlineAnother approach is proposed to improve the detection accuracy by using the combination of two streams of features to form a more distinctive representation apt for content authentication of digital images. Consequently, by joining the two categories of image features, the detection accuracy is fundamentally upgraded compared to using a single method and other contemporary methods. The proposed fusion-based approach used 1160-dimensional features and has state-of-art accuracy of 97.94% and 99.31% on CASIA v1 and CASIA v2 datasets, respectively. The proposed approach is promising for offline forensic analysis of digital images. However, for real-time analysis, the high dimensionality of fused features is the primary bottleneck. newline newline
Pagination: xx, 158p.
URI: http://hdl.handle.net/10603/410559
Appears in Departments:University Institute of Engineering and Technology

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02_certificate.pdf566.51 kBAdobe PDFView/Open
03_ccknowledgement.pdf254.07 kBAdobe PDFView/Open
04_abstract.pdf184.77 kBAdobe PDFView/Open
05_contents.pdf411.58 kBAdobe PDFView/Open
06_list_of_figures.pdf384.05 kBAdobe PDFView/Open
07_list_of_tables.pdf291.49 kBAdobe PDFView/Open
08_abbreviations.pdf449.7 kBAdobe PDFView/Open
09_publications.pdf378.91 kBAdobe PDFView/Open
10_chapter1.pdf1.2 MBAdobe PDFView/Open
11_chapter2.pdf6.96 MBAdobe PDFView/Open
12_chapter3.pdf5.82 MBAdobe PDFView/Open
13_chapter4.pdf4.94 MBAdobe PDFView/Open
14_chapter5.pdf2.92 MBAdobe PDFView/Open
15_conclusion.pdf850.54 kBAdobe PDFView/Open
16_appendix.pdf1.58 MBAdobe PDFView/Open
17_references.pdf3.22 MBAdobe PDFView/Open
80_recommendation.pdf1.2 MBAdobe PDFView/Open
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