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International Journal for Research Trends and Innovation
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Volume 4 | Issue 3

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Paper Title: Comparative Analysis Of Feature Matching Algorithms In Region Duplication Detection
Authors Name: Nisha Fule , Vanita Mane
Unique Id: IJRTI1810036
Published In: Volume 3 Issue 10, October-2018
Abstract: Images works as a source of information which can be used as an evidence for any cyber crime investigation. Because of technological growth, the availability of image morphing software’s the true information in images can be modified. Modifying the content from any digital image is called tampering or forgery. Detecting the forgery done on any image is very crucial. Region duplication is one of the kind of digital image forgeries where particular portion is copied and pasted on same image at different location. Many duplication detection methods have been delivered good result. In this work comparative analysis of different block based feature matching algorithms are explained which are used to detect the duplicated regions present in an image.
Keywords: DCT, Forgery, Image Hashing, Kd-tree, Lexicographical sort, Region duplication.
Cite Article: "Comparative Analysis Of Feature Matching Algorithms In Region Duplication Detection", International Journal of Science & Engineering Development Research (, ISSN:2455-2631, Vol.3, Issue 10, page no.216 - 220, October-2018, Available :
Downloads: 000775
Publication Details: Published Paper ID: IJRTI1810036
Registration ID:180536
Published In: Volume 3 Issue 10, October-2018
DOI (Digital Object Identifier):
ISSN Number: 2456 - 3315
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