NDLI: Image Forgery Detection Using Adaptive Oversegmentation and Feature Point Matching

Content Provider	IEEE Xplore Digital Library
Author	Chi-Man Pun Xiao-Chen Yuan Xiu-Li Bi
Copyright Year	2005
Abstract	A novel copy-move forgery detection scheme using adaptive oversegmentation and feature point matching is proposed in this paper. The proposed scheme integrates both block-based and keypoint-based forgery detection methods. First, the proposed adaptive oversegmentation algorithm segments the host image into nonoverlapping and irregular blocks adaptively. Then, the feature points are extracted from each block as block features, and the block features are matched with one another to locate the labeled feature points; this procedure can approximately indicate the suspected forgery regions. To detect the forgery regions more accurately, we propose the forgery region extraction algorithm, which replaces the feature points with small superpixels as feature blocks and then merges the neighboring blocks that have similar local color features into the feature blocks to generate the merged regions. Finally, it applies the morphological operation to the merged regions to generate the detected forgery regions. The experimental results indicate that the proposed copy-move forgery detection scheme can achieve much better detection results even under various challenging conditions compared with the existing state-of-the-art copy-move forgery detection methods.
Sponsorship	IEEE Signal Processing Society
Starting Page	1705
Ending Page	1716
Page Count	12
File Size	2496197
File Format	PDF
ISSN	15566013
Volume Number	10
Issue Number	8
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-01-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Forgery Feature extraction Image segmentation Discrete wavelet transforms Image color analysis Digital images Forgery Region Extraction Copy-Move Forgery Detection Adaptive Over-Segmentation Local Color Feature forgery region extraction Copy-move forgery detection adaptive over-segmentation local color feature
Content Type	Text
Resource Type	Article
Subject	Computer Networks and Communications Safety, Risk, Reliability and Quality

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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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